JP6394204B2 - Accounting data audit support program, accounting data audit support method, and audit support apparatus - Google Patents

Description

  The present invention relates to an accounting data audit support program, an accounting data audit support method, and an audit support device.

  Conventionally, companies and local governments have been audited for inappropriate accounting of accounting data.

JP 2003-16360 A Japanese Patent Laid-Open No. 6-110901 Japanese Patent Laid-Open No. 7-121743

  However, the task of extracting inappropriate accounting is performed by human power and is not efficient.

  An object of the present invention is, in one aspect, to provide an accounting data audit support program, an accounting data audit support method, and an audit support device that can improve the efficiency of audit work for inappropriate accounting.

  In one aspect, the accounting data audit support program refers to a storage unit that stores accounting data regarding expenditure-bearing activities on a computer, and stores accounting data in which a plurality of expenditure-bearing activity data of the same affiliation and the same business partner exist. The process to extract is executed. The accounting data audit support program causes the computer to execute a process of outputting the accounting data as a candidate for audit when the decision condition is different as compared to the case of single data when summing the amounts.

  According to one aspect of the present invention, it is possible to improve the efficiency of audit work for inappropriate accounting.

FIG. 1 is a diagram illustrating an example of a schematic configuration of an audit support apparatus. FIG. 2 is a diagram illustrating an example of an extraction target designation screen for designating unnatural accounting contents to be extracted. FIG. 3 is a diagram illustrating an example of expenditure burden act data. FIG. 4 is a diagram illustrating an example of expenditure burden act data. FIG. 5 is a diagram illustrating an example of staff data. FIG. 6 is a diagram illustrating an example of expenditure burden act data. FIG. 7 is a diagram illustrating an example of attendance form data. FIG. 8 is a diagram illustrating an example of the execution request data. FIG. 9 is a diagram illustrating an example of the conclusion contract data. FIG. 10 is a diagram illustrating an example of expenditure command data. FIG. 11 is a diagram illustrating an example of expenditure burden act data. FIG. 12 is a diagram illustrating an example of business trip information. FIG. 13 is a diagram illustrating an example of expenditure burden act data. FIG. 14 is a diagram illustrating an example of an approval standard master. FIG. 15 is a diagram illustrating an example of the execution request data. FIG. 16 is a diagram illustrating an example of expenditure burden data execution inquiry data. FIG. 17 is a diagram illustrating an example of expenditure burden act data. FIG. 18 is a diagram illustrating an example of an expenditure budget master. FIG. 19 is a diagram illustrating an example of expenditure command data. FIG. 20 is a diagram illustrating an example of expenditure burden act data. FIG. 21 is a diagram illustrating an example of an expenditure budget master. FIG. 22 is a diagram illustrating an example of the revenue budget master. FIG. 23 is a diagram illustrating an example of an output result of unnatural accounting data. FIG. 24 is a flowchart illustrating an example of the procedure of the accounting data audit support process. FIG. 25 is a flowchart illustrating an example of the procedure of the accounting data audit support process. FIG. 26 is a diagram illustrating a computer that executes an accounting data audit support program.

  Hereinafter, embodiments of an accounting data audit support program, an accounting data audit support method, and an audit support apparatus disclosed in the present application will be described in detail with reference to the drawings. Note that the present invention is not limited to the embodiments. Each embodiment can be appropriately combined within a range in which processing contents are not contradictory.

[Inappropriate accounting]
First, I will explain improper accounting audits. Companies and local governments are audited for inappropriate accounting of accounting data. Inappropriate accounting refers to an act of violating laws and internal rules, etc., omitting regular financial accounting procedures, or performing false procedures. Inappropriate accounting may be done by employees or staff members alone or systematically. Inappropriate accounting includes not only acts for private interest but also for public use. In the following, an example applied to an inappropriate accounting audit in a local government will be described, but the same applies to an inappropriate accounting audit in a company.

  There are various modes of inappropriate accounting. For example, improper accounting includes “deposits”, “lump sum payment”, “replacement”, “next year delivery”, “previous year delivery”, “excluded expenditure”, “fictional billing”, “split order”, There are “substitute” and “inappropriate cash”. “Deposits” refers to, for example, creating and paying documents that have been delivered even though the contracted goods have not been delivered, allowing the contractor to hold the payments as deposits, and using them later to make contracts Is to deliver different goods. “Lump-sum payment” means, for example, having goods delivered to a supplier at any time, and submitting a bill, etc. that is different from the delivered goods at a later date, and creating a dossier with the content that these goods were delivered And pay in bulk. “Replacement” refers to, for example, creating and paying a related document indicating that a contracted article has not been delivered, but actually delivering it by replacing it with an article different from the contract. “Delivery in the next year” means, for example, that the goods are delivered in the following fiscal year or later, and that the goods before the actual delivery date are listed as the date of acceptance in the document such as a payment burden order. It is to be paid as being delivered in the fiscal year. “Previous year delivery” means that the article was delivered in the current fiscal year, for example, by listing the date after the actual delivery date as the acceptance date, even though the article was delivered before the previous year. Is to make a payment. “Excluded expenditure” means, for example, paying expenses related to local government operations with a subsidy from the national treasury, or spending on goods that are not eligible for public funds. is there. “Fictitious billing” refers to, for example, generating funds by increasing the billing amount for hiring a fictitious business trip or temporary staff. “Split order” means, for example, that the accountant in each section purchases items that exceed the ordering authority amount, so that the billing contents are divided into multiple invoices, and expenditures are made. It may be done at the same time. “Shoulder” means, for example, purchasing consumables or the like of other departments with a budget for the current fiscal year, and a affiliation different from the affiliation from which the order was placed receives the delivery of the article. “Inappropriate cash” means, for example, cash, cash passbook, or cash voucher (for example, stamps, postcards, stamps, stamps, book coupons, telephone cards, gift certificates, beer coupons, etc.) resulting from inappropriate paperwork. In addition, it is to manage cash, etc., whose purpose and origin are unclear, within the affiliation, or to hold cash, etc. within the affiliation without neglecting the accounting process. Inappropriate accounting is not limited to these embodiments. Inappropriate accounting includes, for example, sending a delivery note or invoice with a blank date to a supplier, or having the same supplier prepare multiple quotations.

  There are various reasons for improper accounting. For example, when the state of budget execution affects the budget for the following fiscal year and later, awareness of trying to use up the budget arises. Also, for example, if you want to change the spending purpose of the budget in the middle of the fiscal year, you want to avoid the work because the accounting system or organizational flexibility is low for changing the spending purpose and the office work is complicated Consciousness arises. In addition, for example, it is possible to carry out the work in a casual manner without questioning the situation in which the regular procedure is omitted, and to easily follow the customs and processing methods of the predecessor.

[Configuration of audit support device]
Next, the audit support apparatus 10 according to the first embodiment will be described. FIG. 1 is a diagram illustrating an example of a schematic configuration of an audit support apparatus. The audit support device 10 is a device that supports an audit as to whether improper accounting is performed. The audit support device 10 is, for example, a computer such as a server computer provided in a company, a local government, or a data center. The audit support apparatus 10 may be implemented as a single computer, or may be implemented as a cloud including a plurality of computers. In addition, the audit support apparatus 10 may be a computer on which accounting software operates, for example, or may be another apparatus. In the present embodiment, the case where the audit support apparatus 10 is a single computer will be described as an example. The audit support apparatus 10 is connected to a network, and can exchange various types of information with a terminal apparatus operated by a user who performs an audit via the network.

  As illustrated in FIG. 1, the audit support device 10 includes a communication I / F unit 20, a storage unit 21, and a control unit 22. Note that the audit support apparatus 10 may include various functional units included in a known computer in addition to the functional units illustrated in FIG. For example, the audit support device 10 may include a display unit that displays various types of information and an input unit that inputs various types of information.

  The communication I / F unit 20 is an interface that controls communication with other devices. The communication I / F unit 20 transmits / receives various information to / from other devices via a network. For example, the communication I / F unit 20 transmits / receives various data related to the display screen and operation contents to / from the terminal device operated by the user who performs the audit. As the communication I / F unit 20, a network interface card such as a LAN card can be adopted.

  The storage unit 21 is a storage device that stores various data. For example, the storage unit 21 is a storage device such as a hard disk, an SSD (Solid State Drive), or an optical disk. Note that the storage unit 21 may be a semiconductor memory that can rewrite data, such as a random access memory (RAM), a flash memory, and a non-volatile static random access memory (NVSRAM).

  The storage unit 21 stores an OS (Operating System) executed by the control unit 22 and various programs. For example, the storage unit 21 stores various programs including a program for executing an accounting data audit support process described later. Furthermore, the storage unit 21 stores various data used for auditing. For example, the storage unit 21 stores an accounting database 30 and an attendance database 40.

  The accounting database 30 stores various data relating to accounting. For example, as related to the present embodiment, the accounting database 30 includes the expenditure burden act data 31, the execution inquiry data 32, the conclusion contract data 33, the expenditure instruction data 34, the approval criteria master 35, and the expenditure budget master. 36 and the revenue budget master 37 are stored.

  The attendance database 40 stores various data relating to attendance of employees and staff. For example, as related to the present embodiment, the attendance database 40 stores staff data 41, attendance form data 42, and business trip information 43.

  In the present embodiment, the accounting database 30 and the attendance database 40 are stored in the storage unit 21, but the accounting database 30 and the attendance database 40 may be stored in an external device. The accounting database 30 and the attendance database 40 may store various data related to accounting and attendance in addition to the data shown in FIG. The data structures of the accounting database 30 and the attendance database 40 are also examples, and different data structures may be used as long as data used for extraction of unnatural accounting contents described later is stored.

  The expense burden action data 31 is data storing information related to the expense burden action. An expenditure burden act is an act that causes expenditure, such as a purchase contract for goods. For example, the expense-bearing action data 31 stores information on expenses such as the expense destination, the amount, the registrant, the registered department, and the registration date.

  The execution inquiry data 32 is data storing information related to an execution inquiry for asking whether the budget may be executed, such as purchase of goods or ordering of business. For example, the execution inquiry data 32 stores information related to the execution inquiry such as the registrant of the execution inquiry, the amount of the execution inquiry, and the contract number.

  The conclusion contract data 33 is data storing information related to the concluded contract. For example, the conclusion contract data 33 stores information related to the concluded contract such as a contract number, a registrant, and a contract amount.

  The expenditure command data 34 is data storing information related to the expenditure command. For example, the expenditure command data 34 stores information related to expenditure, such as a contract number, a registrant, and an amount of expenditure. In addition, the same number is memorize | stored in the contract number of multiple types of accounting data according to each step about the same one transaction. For example, the same number is used as a contract number for an execution inquiry, contract, and expenditure order related to one transaction for purchasing a certain product.

  The approval criteria master 35 is data that stores information related to the approver who approves expenditures. For example, the approval standard master 35 stores information related to approval such as an approver who approves the amount of expenditure for each amount of expenditure.

  The expenditure budget master 36 is data that stores information on the expenditure budget. For example, the expenditure budget master 36 stores information on the current expenditure budget, such as the budget balance within the year, for each item of the expenditure budget.

  The revenue budget master 37 is data storing information related to the revenue budget. For example, the revenue budget master 37 stores information on the current state of the revenue budget, such as an annual budget amount and an already paid amount, for each item of the revenue budget.

  The staff data 41 is data that stores information on local government staff. For example, the staff data 41 stores information about the staff, such as the staff's name, department, and affiliation period of the department.

  The attendance form data 42 is data that stores information on the work form of the staff. For example, the attendance form data 42 stores information related to the work form of the staff, such as a work day on which the staff should work and attendance.

  The business trip information 43 is data storing information related to the business trip of the staff. For example, the business trip information 43 stores information on the business trip of the staff, such as the name of the staff who made the business trip, the business trip period, and the business trip destination.

  A specific example of the above-described various information stored in the storage unit 21 will be described later in conjunction with the description of the processing unit that uses these information.

  The control unit 22 is a device that controls the audit support apparatus 10. As the control unit 22, an electronic circuit such as a CPU (Central Processing Unit) or MPU (Micro Processing Unit), or an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array) can be employed. The control unit 22 has an internal memory for storing programs defining various processing procedures and control data, and executes various processes using these. The control unit 22 functions as various processing units by operating various programs. For example, the control unit 22 includes a reception unit 50, an evaluation unit 51, and an output unit 52.

  The reception unit 50 performs various types of reception. For example, the reception unit 50 receives various operation instructions. For example, the reception unit 50 transmits image information of a designation screen that designates unnatural accounting contents to be extracted to the terminal device, and causes the terminal device to display the designation screen. The accepting unit 50 accepts designation of unnatural accounting content to be extracted from the terminal device through a designation screen. This unnatural accounting content is, for example, an unnatural draft of the person in charge or an unnatural amount.

  There are various aspects of the unnatural draft of the person in charge, such as the following. For example, in the same affiliation and the same trader during a certain period such as a fiscal year, if the transaction performance exceeds a certain number of times, there is a possibility of adhesion with the trader. In addition, for example, when an order is made from the same staff to the same trader before and after the staff change, there is a suspicion of adhesion with the trader. In addition, for example, when there are many transactions where there is little difference between the amount of money required for execution and the amount of the burden of spending, there is a suspicion of adhesion with a business. In addition, for example, there is a suspicion that some sort of fraud is being carried out with respect to a staff member who is often operated in a time zone that is not easily noticeable, such as a holiday work day or nighttime. Also, if the same staff performs all stages of a transaction, for example, execution requests, contracts, and spending orders, there is a suspicion that some sort of fraud has occurred because no third party is involved. Further, for example, regarding the data on which the system operation of the staff is performed during the staff's business trip period, there is a suspicion of the staff's empty business trip or impersonation by another staff.

  There are various modes for an unnatural amount of money, such as the following. For example, when the transaction results for a plurality of transactions are added up, and the settlement criteria change with a single transaction, there is a suspicion of split delivery. In addition, for example, there is a suspicion of adhesion with a contractor for a case where the difference between the amount of money required for execution (budget amount) and the amount of the burden of payment (contract amount) is small. In addition, for example, there is a suspicion of deposit for a case in which the balance of the payout budget is close to 0 yen at the end of the fiscal year. Also, for example, if the account information has been corrected from the payment order to the time of actual payment, there is a suspicion that the staff is diverted because the transfer account is intentionally changed. In addition, for example, a case where the ratio of the change amount of the expenditure burden act exceeds a certain rate has a large change in the amount since the budget was created, so there is some suspicion of fraud. In addition, for example, an expenditure budget with a high ratio of carry-over amount and unused amount is likely not to be implemented as planned, and there is a suspicion that the staff in charge is neglected. Also, for example, since the budget is usually executed after competitive bidding, etc., there is a suspicion that the expenditure budget with a low ratio of unused amount is not being executed properly or a deposit is suspected. In addition, for example, a revenue budget with a large difference between the budget amount and the revenue amount may not be implemented as scheduled.

  Here, it demonstrates using a specific example. FIG. 2 is a diagram illustrating an example of an extraction target designation screen for designating unnatural accounting contents to be extracted.

  The extraction target designation screen 60 shown in FIG. 2 is provided with an input area for designating a range of accounting data to be extracted. For example, the extraction target designation screen 60 is provided with a year 61, a period 62, an affiliation (part) 63, and a subject (section) 64 as input areas for designating a range of accounting data. The year 61 is an area for designating the fiscal year to be extracted. The period 62 is an area for designating a period of data to be extracted, and an area for inputting a start date and an end date of the period is provided. The affiliation (part) 63 is an area for designating a department in which the accounting data to be extracted is registered. The course (section) 64 is an area for designating a course of accounting data to be extracted. A code for identifying each subject is assigned to each subject in order. The subject (section) 64 can specify the range of the subject of the accounting data to be extracted, and has an area for inputting the start and end of the range.

  Further, the extraction target designation screen 60 is provided with a designation area for designating unnatural accounting contents to be extracted. For example, the extraction target designation screen 60 is provided with designation areas 70 to 82 for designating unnatural accounting contents to be extracted.

  The designation area 70 is an area for designating extraction of data whose transaction results exceed a certain number of times (amount) in the same affiliation and the same trader during a certain period such as a fiscal year. The designation area 70 is provided with an input area 70A for designating the number of transaction results and an input area 70B for designating the amount of transaction results as threshold values used for extraction. When only one of the input area 70A and the input area 70B is input, only the input area is used as a threshold value.

  The designation area 71 is an area for designating extraction of data ordered from the same staff to the same company before and after the staff change. The designation area 71 is provided with an input area 71A for designating the number of transaction results and an input area 71B for designating the amount of transaction results as threshold values used for extraction. When only one of the input area 71A and the input area 71B is inputted, only the inputted one is used as a threshold value.

  The designation area 72 is an area for designating extraction of data that is performed in a time zone in which the operation time of the system is not easily noticeable, such as a holiday work day or a night time zone. The designated area 73 is an area for designating extraction of data registered by the same staff member who has the same execution request, contract, and expenditure order. The designation area 74 is an area for designating extraction of data in which the staff's system operation is performed during the staff's business trip period. The designation area 75 is an area for designating extraction of data that changes a single transaction and decision criteria when a plurality of transaction results are added up.

  The designation area 76 is an area for designating the extraction of transaction data that has a small difference between the amount of money required for execution and the amount of burden of spending. The designation area 76 is provided with an input area 76A for designating the ratio of the difference between the execution request amount and the expense burden action amount as a threshold used for extraction.

  The designation area 77 is an area for designating extraction of data that is executed such that the balance of the payout budget is close to 0 yen. The designation area 77 is provided with an input area 77A for designating the percentage of the remaining payout budget as a threshold used for extraction.

  The designation area 78 is an area for designating extraction of data in which the account information is corrected from the expenditure command to the time of actual payment.

  The designation area 79 is an area for designating extraction of data for a case in which the ratio of the change amount of the expenditure burden act exceeds a certain rate. The designation area 79 is provided with an input area 79A for designating a ratio of the change amount of the expense burden action as a threshold used for extraction.

  The designation area 80 is an area for designating extraction of data of an expenditure budget item having a large ratio of carried forward amount / unused amount. The designated area 80 is provided with an input area 80A for designating the ratio of the amount carried forward and the unused amount as a threshold used for extraction.

  The designation area 81 is an area for designating extraction of data of an expenditure budget item having a low ratio of unused amount. The designated area 81 is provided with an input area 81A for designating the ratio of the unused amount as a threshold used for extraction.

  The designation area 82 is an area for designating extraction of revenue budget data having a large difference between the budget amount and the revenue amount. The designation area 82 is provided with an input area 82A for designating a difference amount between a budget amount and a revenue amount as a threshold value used for extraction.

  The extraction target designation screen 60 is provided with an output button 65. When the output button 65 is selected, the extraction target designation screen 60 refers to the accounting database 30 stored in the storage unit 21 and the attendance database 40, and is designated in the specified accounting data range. Is instructed to start extraction of data with a large accounting content.

  The evaluation unit 51 refers to the accounting database 30 stored in the storage unit 21 and the attendance database 40 in accordance with the instruction content received by the reception unit 50, and each evaluation content corresponds to an unnatural accounting content. To do.

  The output unit 52 extracts and outputs data corresponding to the evaluation result by the evaluation unit 51 and unnatural accounting contents.

  For example, the accounting database 30 of the storage unit 21 stores a plurality of accounting data including supplier information. The evaluation unit 51 refers to the accounting database 30 in the storage unit 21 and evaluates the degree of matching of the customer information in the accounting data group shared by the accounting data registrant or accounting data registration department. The output unit 52 extracts information on the accounting data group or a registrant or registered department of the accounting data group according to the evaluation result. For example, when the designated area 70 is designated on the extraction target designation screen 60, the evaluation unit 51 matches the business data registrant or accounting data registration department from the accounting database 30 of the storage unit 21 with the business partner. Obtain accounting data group. Then, the evaluation unit 51 searches for the number of times input in the input area 70A, the accounting data group greater than the amount input in the input area 70B, and the registrant or registered department of the accounting data group. The output unit 52 extracts and outputs the search result.

  This will be described using a specific example. In the following description, only specific examples of data items used for extracting each unnatural accounting content will be described. That is, the expense burden action data 31 is not limited to the items described below, and may include other items.

  FIG. 3 is a diagram illustrating an example of expenditure burden act data. In the example of FIG. 3, the expense burden action data 31 includes items of draft date, registrant, registered department, and trader. The draft date item is an area for storing the date when the data was registered. The registrant item is an area for storing the staff member who registered the data. The registered department is an area for storing the department to which the staff member who registered the data belongs when the data is registered. The merchant item is an area for storing a merchant that is a payer.

  In the example of FIG. 3, data of the expense sharing action of the draft date “2014/4/1”, the registrant “Taro Yamada”, the registered department “A affiliation”, and the trader “that trader” are registered. In addition, data on the burden of spending of the draft date “2014/4/3”, the registrant “Taro Yamada”, the registered department “A affiliation”, and the trader “that trader” are registered. In addition, the data of the burden of payment of the drafting date “2014/4/4”, the registrant “Taro Yamada”, the registered department “A affiliation”, and the trader “that trader” are registered. In addition, the data of the expense sharing action of the draft date “2014/4/6”, the registrant “Shiro Suzuki”, the registered department “A affiliation”, and the trader “that trader” are registered. In addition, the data of the burden-sharing activities of the drafting date “2014/4/10”, the registrant “Shiro Suzuki”, the registered department “A affiliation”, and the trader “that trader” are registered. In addition, the data of the expense sharing action of the draft date “2014/4/11”, the registrant “Goro Takenaka”, the registered department “B affiliation”, and the trader “that trader” are registered. In addition, the data of the expense sharing action of the draft date “2014/4/11”, the registrant “Goro Takenaka”, the registered department “B affiliation”, and the trader “that trader” are registered. In addition, the data of the expenditure burden act of the drafting date “2014/5/1”, the registrant “Goro Takenaka”, the registered department “B affiliation”, and the trader “that trader” are registered.

  For example, “2014/4/1” to “2014/4/30” are designated for the period 62 on the extraction target designation screen 60, “A affiliation” is designated for the affiliation (part) 63, and the designated area 70 is designated. It is assumed that “3” times are designated in the input area 70A. In this case, “A affiliation” has made a transaction with the trader “that trader” three times or more, and matches the conditions. In this case, the data indicated by reference numeral 100 is output as unnatural accounting content.

  For example, the accounting database 30 of the storage unit 21 stores a plurality of accounting data including supplier information. The attendance database 40 stores a staff transfer history. The evaluation unit 51 refers to the accounting database 30 and the attendance database 40, and determines between the accounting data corresponding to the department before the transfer of the specific staff and the accounting data corresponding to the department after the transfer of the specific staff. Evaluate the degree of matching of supplier information. The output unit 52 outputs information related to the accounting data group or specific staff information according to the evaluation result. For example, when the designated area 71 is designated on the extraction target designation screen 60, the evaluation unit 51 identifies the staff member who has changed from the attendance database 40 and the department before the staff member has been changed. Then, the evaluation unit 51 performs transaction data from the accounting database 30 that is more than the amount of money entered in the input area 71B, the number of times entered in the input area 71A, and the same business partner before and after the transfer of the specified staff. A group and a registered person of the accounting data group are searched. The output unit 52 extracts and outputs the search result.

  This will be described using a specific example. In the following description, only specific examples of data items used for extracting each unnatural accounting content will be described. That is, the expenditure burden act data 31 and the staff data 41 are not limited to the items described below, and may include other items.

  FIG. 4 is a diagram illustrating an example of expenditure burden act data. In the example of FIG. 4, the expense burden action data 31 includes items of draft date, registrant, registered department, and trader.

  In the example of FIG. 4, data on the burden of payment of the draft date “2014/3/1”, the registrant “Taro Yamada”, the registered department “A affiliation”, and the trader “that trader” are registered. In addition, data on the burden of spending of the draft date “2014/3/3”, the registrant “Taro Yamada”, the registered department “A affiliation”, and the trader “that trader” are registered. In addition, the data of the expense sharing action of the drafting date “2014/4/5”, the registrant “Taro Yamada”, the registered department “B affiliation”, and the trader “that trader” are registered. In addition, the data of the burden-sharing activities of the drafting date “2014/3/1”, the registrant “Shiro Suzuki”, the registered department “A affiliation”, and the trader “that trader” are registered. In addition, the data of the expenditure burden act of the drafting date “2014/3/3”, the registrant “Shiro Suzuki”, the registered department “A affiliation”, and the trader “that trader” are registered. In addition, data on the burden of paying of the draft date “2014/4/5”, the registrant “Shiro Suzuki”, the registered department “A affiliation”, and the trader “that trader” are registered. In addition, the data of the expense sharing action of the drafting date “2014/3/1”, the registrant “Goro Takenaka”, the registered department “A affiliation”, and the trader “that trader” are registered. In addition, data on the burden of spending of the draft date “2014/3/3”, the registrant “Goro Takenaka”, the registered department “A affiliation”, and the trader “that trader” are registered. In addition, the data of the expense sharing action of the drafting date “2014/3/31”, the registrant “Goro Takenaka”, the registered department “A affiliation”, and the trader “that trader” are registered.

  FIG. 5 is a diagram illustrating an example of staff data. In the example of FIG. 5, the staff data 41 includes items of staff information, affiliation, application start date, and application end date. The staff information item is an area for storing information for identifying a staff member. In the staff information item, the name of the staff is stored as information for identifying the staff. The affiliation item is an area for storing the department to which the staff belongs. The application start date item is an area for storing the start date of belonging to a department. The application end date item is an area for storing the end date of belonging to a department. The application end date item can be omitted. For the department to which the staff currently belongs, the data of the application end date item is omitted because the transfer is unclear.

  In the example of FIG. 5, data belonging to staff information “Taro Yamada”, affiliation “A affiliation”, application start date “2013/4/1”, and application end date “2014/3/31” are registered. In addition, the staff information “Taro Yamada”, affiliation “B affiliation”, application start date “2013/4/1”, application end date “2014/3/31”, affiliation data with no application end date registered are registered. Yes. In addition, staff information “Shiro Suzuki”, affiliation “A affiliation”, application start date “2013/4/1”, and affiliation data with no application end date registered are registered. In addition, data of affiliations of the staff information “Goro Takenaka”, affiliation “A affiliation”, application start date “2013/4/1”, and application end date “2014/3/31” are registered. Further, staff information “Goro Takenaka”, affiliation “B affiliation”, application start date “2013/4/1”, and affiliation data with no application end date registered are registered.

  For example, in the extraction target designation screen 60, “2014/3/1” to “2014/4/30” are designated for the period 62, the designated area 71 is designated, and “3” times are designated for the input area 71A. Shall. In this case, “Taro Yamada” was transferred from the A affiliation to the B affiliation on 2014/4/1, and before and after the change, he / she traded with the trader “that trader” three times or more. In this case, the data indicated by reference numeral 101 is output as an unnatural accounting content.

  For example, the accounting database 30 of the storage unit 21 stores a plurality of accounting data and respective registration timings of the plurality of accounting data. The evaluation unit 51 identifies accounting data whose registration timing is an overtime time zone or a holiday time zone. The output unit 52 outputs information on the specified accounting data or information on the registrant of the specified accounting data. For example, when the designation area 72 is designated on the extraction target designation screen 60, the evaluation unit 51 identifies the working hours of each staff member from the attendance form data 42 in the storage unit 21. Then, the evaluation unit 51 searches the accounting database 30 for the accounting data group registered above the threshold in the overtime hours or holiday hours other than the working hours of the staff, and the registrants of the accounting data group. In this embodiment, this threshold value is set to 5 times, but it may be specified from the extraction target specifying screen 60. The output unit 52 extracts and outputs the search result.

  This will be described using a specific example. In the following description, only specific examples of data items used for extracting each unnatural accounting content will be described. That is, the expense burden action data 31 and the attendance form data 42 are not limited to the items described below, and may include other items.

  FIG. 6 is a diagram illustrating an example of expenditure burden act data. In the example of FIG. 6, the expense burden action data 31 includes items of draft date, registration time, and registrant. The item of registration time is an area for storing the time when data is registered.

  In the example of FIG. 6, the draft date “2014/4/4”, the registration time “20:00”, and the data of the expenditure burden act of the registrant “Taro Yamada” are registered. In addition, the drafting date “2014/4/4”, the registration time “22:00”, and the data of the expenditure burden act of the registrant “Taro Yamada” are registered. In addition, the drafting date “2014/4/4”, the registration time “23:00”, and the data of the expenditure burden act of the registrant “Taro Yamada” are registered. In addition, the drafting date “2014/4/4”, the registration time “23:30”, and the data of the expenditure burden act of the registrant “Taro Yamada” are registered. The draft date “2014/4/6”, the registration time “10:00”, and the data of the expenditure burden act of the registrant “Taro Yamada” are registered. In addition, the draft date “2014/4/4”, the registration time “20:00”, and the data of the expenditure burden act of the registrant “Shiro Suzuki” are registered. In addition, the draft date “2014/4/4”, the registration time “22:00”, and the data of the expenditure burden act of the registrant “Shiro Suzuki” are registered. In addition, the draft date “2014/4/4”, the registration time “23:00”, and the data of the expenditure burden act of the registrant “Shiro Suzuki” are registered. In addition, the draft date “2014/4/4”, the registration time “23:30”, and the data of the expenditure burden act of the registrant “Shiro Suzuki” are registered. In addition, the draft date “2014/4/6”, the registration time “10:00”, and the data of the expenditure burden act of the registrant “Shiro Suzuki” are registered.

  FIG. 7 is a diagram illustrating an example of attendance form data. In the example of FIG. 7, the attendance form data 42 includes items of staff information, day of the week, attendance form, start time, and end time. The staff information item is an area for storing information for identifying a staff member. In the staff information item, the name of the staff is stored as information for identifying the staff. The item of day of week is an area for storing each day of the week. The item of the attendance form is an area in which the corresponding day of the week stores the duty form of the staff. For example, if the day of the week is a day to go to work, the “working day” is stored in the item of the work form, and “holiday” is stored if the day of the week is a holiday. The item of the start time is an area for storing the start time that is the start time of work. The item of closing time is an area for storing closing time, which is the end time of work. The items of start time and end time are set for work days.

  In the example of FIG. 7, “Taro Yamada” is registered that Monday to Friday is a working day, the starting time is 8:30, and the closing time is 17:30. Also, “Taro Yamada” is registered that Saturday and Sunday are holidays. Also, “Shiro Suzuki” is registered that Monday to Thursday and Sunday are working days, the start time is 8:30, and the end time is 17:30. In addition, “Taro Yamada” is registered that Friday and Saturday are holidays.

  For example, it is assumed that “2014/4/1” to “2014/4/30” are designated in the period 62 on the extraction target designation screen 60 and the designated area 72 is designated. In this case, “Taro Yamada” has traded five times during the overtime hours on Friday and the holiday hours, which matches the conditions. In this case, the data indicated by reference numeral 102 is output as unnatural accounting content. On the other hand, “Shiro Suzuki” has traded four or more times during the holiday, but since the number of transactions is less than the threshold, unnatural accounting details are not extracted.

  For example, the accounting database 30 of the storage unit 21 stores a plurality of types of accounting data according to the stage for one transaction. The evaluation unit 51 specifies a group of accounting data that is common to each registrant of a plurality of types of accounting data corresponding to one transaction. The output unit 52 outputs information on the specified accounting data group or information on the registrant of the specified accounting data group. For example, when the designated area 73 is designated on the extraction target designation screen 60, the evaluation unit 51 retrieves from the accounting database 30 of the storage unit 21 the accounting data group in which the execution request, the contract, and the expenditure order are made by the same staff, the accounting Search for the registrant or registered department of the data group. The output unit 52 extracts and outputs the search result.

  This will be described using a specific example. In the following description, only specific examples of data items used for extracting each unnatural accounting content will be described. That is, the execution inquiry data 32, the conclusion contract data 33, and the expenditure command data 34 are not limited to the items described below, and may include other items.

  FIG. 8 is a diagram illustrating an example of the execution request data. In the example of FIG. 8, the execution inquiry data 32 includes items of contract number and registered staff. The item of the contract number is an area for storing a contract number assigned as information for identifying the execution request at the time of the execution request. The item “Registered Staff” is an area for storing the staff who registered the executive visit.

  In the example of FIG. 8, the contract number “1” and the registered staff “Taro Yamada” are registered. The contract number “2” and the registered staff “Taro Yamada” are registered. The contract number “3” and the registered staff “Taro Yamada” are registered.

  FIG. 9 is a diagram illustrating an example of the conclusion contract data. In the example of FIG. 9, the conclusion contract data 33 includes items of contract number and registered staff. The item of the contract number is an area for storing a contract number assigned as information for identifying the execution request at the time of the execution request. The registered staff item is an area for authenticating the conclusion of the contract and storing the staff. In the registered staff item, a staff member who is certified to conclude a contract is stored as a registered staff member.

  In the example of FIG. 9, the contract number “1” and the registered staff “Taro Yamada” are registered. Also, the contract number “2” and the registered staff member “Shiro Suzuki” are registered. The contract number “3” and the registered staff “Taro Yamada” are registered.

  FIG. 10 is a diagram illustrating an example of expenditure command data. In the example of FIG. 10, the expenditure command data 34 includes items of contract number and registered staff. The item of the contract number is an area for storing a contract number assigned as information for identifying the execution request at the time of the execution request. The registered staff item is an area for authenticating expenditure and storing staff. In the registered staff item, staff members who have approved the expenditure are stored as registered staff members.

  In the example of FIG. 10, the contract number “1” and the registered staff “Taro Yamada” are registered. The contract number “2” and the registered staff “Taro Yamada” are registered. The contract number “3” and the registered employee “Shiro Suzuki” are registered.

  For example, it is assumed that the designated area 73 is designated on the extraction target designation screen 60. In this case, the contract number “1” is executed by “Taro Yamada” who has the same execution request, contract, and expenditure order, and matches the condition. In this case, the data indicated by reference numeral 103 is output as an unnatural accounting content.

  For example, the accounting database 30 of the storage unit 21 stores a plurality of accounting data and respective registration timings of the plurality of accounting data. The attendance database 40 stores employee business trip information. The evaluation unit 51 specifies the accounting data in which the registration timing of the accounting data is the business trip time zone of the registrant of the accounting data. The output unit 52 outputs information on the specified accounting data or information on the registrant of the specified accounting data. For example, when the designated area 74 is designated on the extraction target designation screen 60, the evaluation unit 51 identifies the business trip time zone of each staff member from the business trip information 43. Then, the evaluation unit 51 is from the accounting database 30. The accounting data group registered in the employee's business trip time zone and the registrant of the accounting data group are searched. The output unit 52 extracts and outputs the search result.

  This will be described using a specific example. In the following description, only specific examples of data items used for extracting each unnatural accounting content will be described. That is, the expense burden action data 31 and the business trip information 43 are not limited to the items described below, and may include other items.

  FIG. 11 is a diagram illustrating an example of expenditure burden act data. In the example of FIG. 11, the expense burden action data 31 includes items of registration date, registration time, and registrant. The item of registration time is an area for storing the time when data is registered.

  In the example of FIG. 11, the registration date “2014/4/4 (Friday)”, the registration time “10:00”, and the data of the expenditure burden act of the registrant “Taro Yamada” are registered. In addition, registration date “2014/4/4 (Friday)”, registration time “11:00”, and data of expenditure burden act of registrant “Taro Yamada” are registered. In addition, registration date “2014/4/4 (Friday)”, registration time “15:00”, and data of expenditure burden act of registrant “Taro Yamada” are registered. In addition, registration date “2014/4/4 (Friday)”, registration time “16:30”, and registrant “Taro Yamada” spending burden data are registered. Registration date “2014/4/4 (Friday)”, registration time “20:00”, and registrant “Shiroro Suzuki” spending action data are registered. In addition, registration date “2014/4/4 (Friday)”, registration time “22:00” and registrant “Shiro Suzuki” data on the burden of expenditure are registered. In addition, registration date “2014/4/4”, registration time “23:00”, and data on the expenditure burden act of the registrant “Shiro Suzuki” are registered.

  FIG. 12 is a diagram illustrating an example of business trip information. In the example of FIG. 12, the business trip information 43 includes items of a business trip person, a business trip date, a business trip start, and a business trip end. The business trip item is an area for storing a staff member who made a business trip. The business trip date item is an area for storing a business trip date. The business trip start item is an area for storing a business trip start time. The business trip end item is an area for storing the end time of the business trip. For the business trip start and the business trip end, the time is omitted in the case of an all-day business trip.

  In the example of FIG. 12, the business trip data of the registrant “Taro Yamada”, business trip date “2014/4/4 (Friday)”, business trip start “9:00”, and business trip end “13:00” are registered. . The business trip data of the registrant “Shiro Suzuki” and the business trip date “2014/4/4 (Friday)” are registered.

  For example, it is assumed that the designated area 74 is designated on the extraction target designation screen 60. In this case, “Taro Yamada” is on a business trip from 9:00 to 13:00 on 2014/4/4 (Friday) on 2014/4/4 (Friday). It matches. In this case, the data indicated by reference numeral 104 is output as an unnatural accounting content. Since “Shiro Suzuki” has traveled all day on 2014/4/4 (Friday), the data indicated by reference numeral 105 matches the conditions. In this case, the data indicated by reference numeral 105 is output as an unnatural accounting content.

  Further, for example, the accounting database 30 of the storage unit 21 stores accounting data regarding the expenditure burden act. The evaluation unit 51 refers to the accounting database 30 and extracts accounting data in which there are a plurality of pieces of spending burden action data of the same affiliation and the same business partner. The output unit 52 outputs the accounting data as a candidate for audit when the decision condition is different from the case of single data when the amounts are added. For example, when the designated area 75 is designated on the extraction target designation screen 60, the evaluation unit 51 identifies an approver for the amount range for settlement from the settlement reference master 35. Then, the evaluation unit 51 searches the accounting database 30 for the accounting data group in which the approver changes, and the registrant of the accounting data group, as compared with the case of single data when the amounts of the same affiliation and the same business partner are added To do. The output unit 52 extracts and outputs the search result.

  This will be described using a specific example. In the following description, only specific examples of data items used for extracting each unnatural accounting content will be described. That is, the expenditure burden action data 31 and the approval criteria master 35 are not limited to the items described below, and may include other items.

  FIG. 13 is a diagram illustrating an example of expenditure burden act data. In the example of FIG. 13, the expense burden action data 31 includes items of a draft date, a registrant, a registered department, a trader, and an amount. The item of amount is an area for storing the amount of transaction.

  In the example of FIG. 13, the data of the expense sharing act of the drafting date “2014/4/1”, the registrant “Taro Yamada”, the registered department “A affiliation”, the trader “that trader”, and the amount “100” are registered. Yes. In addition, the data of the expenditure burden act of the drafting date “2014/4/3”, the registrant “Taro Yamada”, the registered department “A affiliation”, the trader “that trader”, and the amount “500” are registered. In addition, the data of the expenditure burden act of the drafting date “2014/4/4”, the registrant “Taro Yamada”, the registered department “A affiliation”, the trader “that trader”, and the amount “500” are registered. In addition, the data of the expense sharing act of the drafting date “2014/4/6”, the registrant “Shiro Suzuki”, the registered department “A affiliation”, the trader “that trader”, and the amount “200” are registered. In addition, the data of the expense sharing act of the drafting date “2014/4/10”, the registrant “Shiro Suzuki”, the registered department “A affiliation”, the trader “that trader”, and the amount “200” are registered. In addition, data of the expense sharing action of the draft date “2014/4/11”, the registrant “Shiro Suzuki”, the registered department “B affiliation”, the trader “that trader”, and the amount “200” is registered. In addition, data of an expense sharing action of a draft date “2014/4/11”, a registrant “Goro Takenaka”, a registered department “B affiliation”, a trader “that trader”, and an amount “5000” is registered. In addition, data of an expense sharing action of a drafting date “2014/5/1”, a registrant “Goro Takenaka”, a registered department “B affiliation”, a trader “that trader”, and an amount “6000” is registered.

  FIG. 14 is a diagram illustrating an example of an approval standard master. In the example of FIG. 14, the approval criteria master 35 has items of a lower limit amount, an upper limit amount, and an approval category. The item of the lower limit amount is an area for storing a lower limit amount for which the authorizer of the approval category makes an approval. The item of the upper limit amount is an area for storing an upper limit amount for which the approver of the approval category makes an approval. The item of the approval category is an area for storing the approver of the approval category.

  In the example of FIG. 14, data of approval criteria for the lower limit amount “0”, the upper limit amount “999”, and the approval category “section chief approval” is registered. In addition, approval standard data of a lower limit amount “1000”, an upper limit amount “9999”, and an approval category “section manager approval” are registered. In addition, data of approval criteria for the lower limit amount “10000”, the upper limit amount “99999”, and the approval category “department approval” are registered.

  For example, it is assumed that the designated area 75 is designated on the extraction target designation screen 60. In this case, the three transactions of “Taro Yamada” with “Some traders” alone are within the range of the chief of the chiefs, but the sum total is within the range of the chief of the chiefs. In this case, the data indicated by reference numeral 106 is output as an unnatural accounting content. In addition, the two transactions of “Takenaka Goro” to “Some Traders” alone are within the range of the section manager's approval, but the sum is within the range of the section manager's approval, which matches the conditions. In this case, the data indicated by reference numeral 107 is output as an unnatural accounting content.

  In addition, for example, the accounting database 30 of the storage unit 21 stores accounting data regarding the amount of execution requested, and accounting data regarding the amount of the expense burden corresponding to the amount requested for execution. The evaluation unit 51 refers to the accounting database 30 and evaluates the degree of approximation of the amount between the execution request amount and the expenditure burden act amount corresponding to the execution request amount. The output unit 52 outputs information related to the accounting data group or the registrant of the accounting data group according to the evaluation result. For example, when the designated area 76 is designated on the extraction target designation screen 60, the evaluation unit 51 performs the following process. That is, the evaluation unit 51 refers to the expenditure burden act data 31 and the execution inquiry data 32, and obtains the ratio of the difference between the execution inquiry amount and the expenditure burden action amount corresponding to the execution inquiry amount for each contract. . Then, the evaluation unit 51 searches for an accounting data group in which the ratio of the amount difference is equal to or less than the ratio input in the input area 76A and the registrant of the accounting data group. The output unit 52 extracts and outputs the search result.

  This will be described using a specific example. In the following description, only specific examples of data items used for extracting each unnatural accounting content will be described. That is, the expenditure burden action data 31 and the execution inquiry data 32 are not limited to the items described below, and may include other items.

  FIG. 15 is a diagram illustrating an example of the execution request data. In the example of FIG. 15, the execution inquiry data 32 includes items of a contract number, a registered staff member, a registered department, a trader, and an amount. The item of contract number is an area for storing a contract number for identifying a case for which an execution inquiry has been made. The item of registered staff is an area for storing staff who registered data. The registered department is an area for storing the department to which the staff member who registered the data belongs when the data is registered. The merchant item is an area for storing a merchant that is a payer. The item of the amount is an area for storing the amount of money when an execution inquiry is made.

  In the example of FIG. 15, the execution inquiry data of the contract number “1”, the registered staff “Taro Yamada”, the registered department “A affiliation”, the trader “what trader”, and the amount “10000” are registered. In addition, the data of the execution inquiry of the contract number “2”, the registered staff “Taro Yamada”, the registered department “A affiliation”, the trader “Any trader”, and the amount “10000” are registered. In addition, registration data of the contract number “3”, the registered staff “Taro Yamada”, the registered department “A affiliation”, the trader “that trader”, and the amount “10000” are registered. In addition, registration data for the contract number “4”, the registered staff “Taro Yamada”, the registered department “A affiliation”, the trader “that trader”, and the amount “10000” are registered. In addition, the execution inquiry data of the contract number “5”, the registered staff “Shiro Suzuki”, the registered department “B affiliation”, the trader “that trader”, and the amount “10000” are registered. In addition, the data of the execution inquiry of the contract number “6”, the registered staff “Shiro Suzuki”, the registered department “B affiliation”, the trader “that trader”, and the amount “10000” are registered. In addition, the execution inquiry data of the contract number “7”, the registered staff “Shiro Suzuki”, the registered department “B affiliation”, the trader “that trader”, and the amount “10000” are registered. In addition, the execution inquiry data of the contract number “8”, the registered staff “Shiro Suzuki”, the registered department “B affiliation”, the trader “that trader”, and the amount “10000” are registered.

  FIG. 16 is a diagram illustrating an example of expenditure burden data execution inquiry data. In the example of FIG. 16, the expense burden action data 31 includes items of a contract number, a registered staff member, a registered department, a trader, and an amount. The item of the contract number is an area for storing a contract number for identifying the case for which the expense sharing line has been performed. The item of registered staff is an area for storing staff who registered data. The registered department is an area for storing the department to which the staff member who registered the data belongs when the data is registered. The merchant item is an area for storing a merchant that is a payer. The item of the amount is an area for storing the amount when the expense burden line is performed.

  In the example of FIG. 16, the data of the expense burden line of the contract number “1”, the registered staff “Taro Yamada”, the registered department “A affiliation”, the trader “Any trader”, and the amount “9999” are registered. In addition, the data of the expense burden line of the contract number “2”, the registered staff “Taro Yamada”, the registered department “A affiliation”, the trader “that trader”, and the amount “9999” are registered. In addition, the data of the expense burden line of the contract number “3”, the registered staff “Taro Yamada”, the registered department “A affiliation”, the trader “that trader”, and the amount “9999” are registered. In addition, the data of the execution inquiry of the contract number “4”, the registered staff “Taro Yamada”, the registered department “A affiliation”, the trader “that trader”, and the amount “8000” are registered. In addition, data of the expense burden line of the contract number “5”, the registered staff “Shiro Suzuki”, the registered department “B affiliation”, the trader “that trader”, and the amount “9999” are registered. In addition, the data of the expense burden line of the contract number “6”, the registered staff “Shiro Suzuki”, the registered department “B affiliation”, the trader “that trader”, and the amount “8000” are registered. In addition, the data of the expense burden line of the contract number “7”, the registered staff “Shiro Suzuki”, the registered department “B affiliation”, the trader “that trader”, and the amount “8000” are registered. In addition, the data of the expense burden line of the contract number “8”, the registered staff “Shiro Suzuki”, the registered department “B affiliation”, the trader “that trader”, and the amount “8000” are registered.

  For example, on the extraction target designation screen 60, it is assumed that “A affiliation” is designated for the affiliation (part) 63, the designation area 76 is designated, and “1”% is designated for the input area 76A. In this case, the contract number “1”, “2”, and “3” indicate that the ratio of the difference in the amount of the expense burden line is less than 1% entered in the input area 76A with respect to the amount of the execution request. It meets the conditions. In this case, data indicated by reference numeral 108 is output as an unnatural accounting content.

  For example, the accounting database 30 of the storage unit 21 stores accounting data including a budget balance. The evaluation unit 51 specifies the accounting data or the registrant of the accounting data in which the balance of the dividend budget is equal to or less than the predetermined amount within the predetermined period at the end of the fiscal year. The output unit 52 outputs a registrant of the specified accounting data as an audit target candidate. For example, when the designated area 77 is designated on the extraction target designation screen 60, the evaluation unit 51 obtains a budget amount from the expenditure budget master 36 for each budget item. In addition, the evaluation unit 51 determines, from the expenditure burden act data 31, an accounting data group in which the budget remaining amount is less than the ratio input in the input area 77A within a predetermined period at the end of the accounting period, the accounting data group Search for registrants. In this embodiment, the predetermined period at the end of the accounting period is, for example, 3/1 to 3/31, but other periods may be used, and the period may be selectable from the screen. The output unit 52 extracts and outputs the search result.

  This will be described using a specific example. In the following description, only specific examples of data items used for extracting each unnatural accounting content will be described. That is, the expenditure burden action data 31 and the expenditure budget master 36 are not limited to the items described below, and may include other items.

  FIG. 17 is a diagram illustrating an example of expenditure burden act data. In the example of FIG. 17, the expense-bearing action data 31 includes items of draft date, amount, budget item, remaining dividend budget before update, and remaining dividend budget after update. The drafting date is an area for storing a date when the expense burden line is registered (drafted). The item of the amount is an area for storing the amount of the expense burden line. The item “budget item” is an area for storing a budget item assigned to the budget of the expense burden line. The item “Remaining dividend budget before update” is an area for storing the remaining amount of the budget before spending the amount of the expense burden line. The item of the remaining payout budget after update is an area for storing the remaining amount of the budget after spending the amount of the expense burden line.

  In the example of FIG. 17, data of the expense sharing row of the draft date “2014/3/1”, the amount “10000”, the budget item “A”, the remaining dividend budget before update “10000”, and the remaining dividend budget after update “0”. Is registered. In addition, the data of the payment burden line of the draft date “2014/3/10”, the amount “8000”, the budget item “B”, the pre-update dividend budget remaining “10000”, and the post-update dividend budget remaining “2000” are registered. Yes. In addition, data of the expense burden line of the draft date “2014/3/10”, the amount “1000”, the budget item “C”, the remaining dividend budget before update “1000”, and the remaining dividend budget after update “0” is registered. Yes. In addition, the data of the expense burden line of the draft date “2014/3/20”, the amount “1000”, the budget item “D”, the remaining dividend budget before update “1500”, and the remaining dividend budget after update “500” are registered. Yes. In addition, the data of the expense burden line of the draft date “2014/3/20”, the amount “100”, the budget item “E”, the remaining dividend budget before update “100”, and the remaining dividend budget after update “0” are registered. Yes.

  FIG. 18 is a diagram illustrating an example of an expenditure budget master. In the example of FIG. 18, the expenditure budget master 36 has items of a budget item and an expected dividend amount. The item “budget subject” is an area for storing a budget subject for expenditure. The item of the expected dividend amount is an area for storing the budget amount for each budget item.

  In the example of FIG. 18, for each of the budget subjects “A” to “E”, expenditure budget data of the expected dividend amount “10000” is registered.

  For example, it is assumed that the designation area 77 is designated on the extraction target designation screen 60 and “1”% is designated in the input area 77A. In this case, the data indicated by reference numeral 109 is 3/1 to 3/31 and the balance of the payout budget is less than 1% of the budget amount, which meets the conditions. In this case, the data indicated by reference numeral 109 is output as an unnatural accounting content.

  Further, for example, the accounting database 30 of the storage unit 21 stores accounting data including an expenditure command and account information. The evaluation unit 51 modifies the account information from when the expenditure command is issued until the payment is executed, and specifies the accounting data or the registrant of the accounting data. The output unit 52 outputs the specified accounting data or the registrant of the accounting data as an audit candidate. For example, when the designation area 78 is designated on the extraction target designation screen 60, the evaluation unit 51 corrects the account information from the expenditure command data 34 until the payment is executed after the expenditure command is once issued. An accounting data group and a registrant of the accounting data group are searched. The output unit 52 extracts and outputs the search result.

  This will be described using a specific example. In the following description, only specific examples of data items used for extracting each unnatural accounting content will be described. That is, the expenditure command data 34 is not limited to the items described below, and may include other items.

  FIG. 19 is a diagram illustrating an example of expenditure command data. In the example of FIG. 19, the expenditure command data 34 includes items of a draft date, an amount, an account holder at the time of expenditure command, and an account holder at the time of expenditure. The drafting date is an area for storing the date when the expenditure order is registered (drafted). The item of amount is an area for storing the amount of money for which expenditure has been commanded. The item of account holder at the time of spending order is an area for storing the account holder of the account at the expense destination when the spending order is registered. The item of the account holder at the time of spending is an area for storing the account holder of the account at the time of spending. The item of the account holder at the time of expenditure is unregistered when there is no change in the expense destination.

  In the example of FIG. 19, the data of the payment order of the draft date “2014/3/1”, the amount “10000”, the account holder “Yamada Taro” at the time of the expenditure order, and the account holder “Suzuki Shirow” at the time of the expenditure order are registered. Yes. In addition, the data of the payment order of the draft date “2014/3/10”, the amount “8000”, and the account holder “Yamada Taro” at the time of the payment order are registered. In addition, data on the expenditure order of the draft date “2014/3/10”, the amount “1000”, and the account holder “Yamada Taro” at the time of the expenditure order are registered. In addition, the data of the expenditure command of the draft date “2014/3/20”, the amount “1000”, the account holder “Yamada Taro” at the time of the expenditure command, and the account holder “Takenaka Goro” at the time of the expenditure command are registered. In addition, the data of the drafting date “2014/3/20”, the amount “100”, and the spending order data of the account holder “Yamada Taro” at the time of the spending order are registered.

  For example, it is assumed that the designation area 78 is designated on the extraction target designation screen 60. In this case, the data indicated by reference numeral 110 has account information corrected from when the expenditure command is issued until the payment is executed, and matches the condition. In this case, data indicated by reference numeral 110 is output as unnatural accounting content.

  Further, for example, the accounting database 30 of the storage unit 21 stores accounting data including the amount information of the expenditure burden act. The evaluation unit 51 specifies the accounting data in which the amount of change in the amount information of the expense burdening action is equal to or higher than a predetermined change rate or the registrant of the accounting data. The output unit 52 outputs the specified accounting data or the registrant of the accounting data as an audit candidate. For example, when the designated area 79 is designated on the extraction target designation screen 60, the evaluation unit 51 traces the change history of the expense burden action amount from the expense burden action data 31, and the changed money amount is input to the designated area 79 </ b> A. A search is made for an accounting data group that is greater than or equal to the amount of money, and a registrant of the accounting data group. The output unit 52 extracts and outputs the search result.

  This will be described using a specific example. In the following description, only specific examples of data items used for extracting each unnatural accounting content will be described. That is, the expense burden action data 31 is not limited to the items described below, and may include other items.

  FIG. 20 is a diagram illustrating an example of expenditure burden act data. In the example of FIG. 20, the expense burden action data 31 includes items of drafting date, expense burden action, changed branch version, and amount. The draft date item is an area for storing the date when the data was registered. The item of the expense burden action is an area for storing a number as information for identifying each expense burden action. The item of the changed branch version is an area for storing a serial number indicating the number of times the amount of the expense burden act has been changed. The item of the amount is an area for storing the amount of the expenditure burden act.

  In the example of FIG. 20, data of the expense sharing action of the draft date “2014/3/1”, the expense sharing action “100”, the modified branch version “1”, and the amount “10000” is registered. In addition, data of the expense bearing action of the draft date “2014/3/10”, the expense sharing action “100”, the changed branch version “2”, and the amount “18000” are registered. In addition, data of the expenditure burden act of the drafting date “2014/3/10”, the expense burden act “101”, the changed branch version “1”, and the amount “10000” is registered. In addition, data of the expenditure burden act of the drafting date “2014/3/20”, the expense burden act “101”, the changed branch version “2”, and the amount “11000” are registered.

  For example, it is assumed that the designated area 79 is designated on the extraction target designation screen 60 and “50”% is designated in the input area 79A. In this case, the amount of the expenditure burden act “100” is changed from 10000 yen to 18000 yen, which is more than the designated ratio, and matches the condition. In this case, the data indicated by reference numeral 111 is output as unnatural accounting content.

  Further, for example, the accounting database 30 of the storage unit 21 stores accounting data including an expenditure budget of a carry forward amount or an unused amount. The evaluation unit 51 determines that the ratio of the expenditure budget of the carry forward amount or the unused amount is higher than the first predetermined rate, or the ratio of the expenditure budget of the unnecessary amount is lower than the second predetermined rate, or the accounting data Identify the registrant. The output unit 52 outputs the specified accounting data or the registrant of the accounting data as an audit candidate. For example, when the designated area 80 is designated on the extraction target designation screen 60, the evaluation unit 51 performs the following processing. That is, the evaluation unit 51 searches the accounting database 30 for an expenditure budget item of accounting data in which the ratio of the carried forward amount or the unused amount to the expenditure budget is higher than the rate input in the input area 80A, or the registrant of the accounting data. . The output unit 52 extracts and outputs the search result. For example, when the designated area 81 is designated on the extraction target designation screen 60, the evaluation unit 51 performs the following process. In other words, the evaluation unit 51 searches the accounting database 30 for an expenditure budget item of accounting data in which the ratio of the unused amount to the expenditure budget is lower than the ratio input in the input area 81A, or the registrant of the accounting data. The output unit 52 extracts and outputs the search result.

  This will be described using a specific example. In the following description, only specific examples of data items used for extracting each unnatural accounting content will be described. That is, the expenditure budget master 36 is not limited to the items described below, and may include other items.

  FIG. 21 is a diagram illustrating an example of an expenditure budget master. In the example of FIG. 21, the expenditure budget master 36 has items of an expenditure budget item, a budget amount, a carry-over amount, and an unnecessary amount. The item of expenditure budget item is an area for storing the budget item of expenditure. The item of budget amount is an area for storing the budget amount of the budget item for expenditure. The item of carry-over amount is an area for storing the carry-over amount from the previous year out of the budget amount of the expenditure item. The item of unnecessary amount is an area for storing an unnecessary amount of the budget amount of the expenditure budget item.

  In the example of FIG. 21, expenditure budget data of an expenditure budget item “A”, a budget amount “1000”, a carry-over amount “600”, and an unnecessary amount “0” are registered. In addition, expenditure budget data of an expenditure budget item “B”, a budget amount “1000”, a carry-over amount “0”, and an unnecessary amount “600” are registered. In addition, expenditure budget data of an expenditure budget item “C”, a budget amount “1000”, a carry-over amount “300”, and an unnecessary amount “300” are registered. In addition, expenditure budget data of an expenditure budget item “D”, a budget amount “1000”, a carry-over amount “100”, and an unnecessary amount “100” are registered.

  For example, it is assumed that the designation area 80 is designated on the extraction target designation screen 60 and “50”% is designated in the input area 80A. In this case, the expenditure budget item “A” is equal to or more than the designated amount of the carry-over amount “600” of the budget amount “1000” and matches the condition. Further, the expenditure budget item “B” is equal to or more than the designated amount of the unused amount “600” of the budget amount “1000”, and matches the condition. In this case, data indicated by reference numeral 112 is output as unnatural accounting content. In addition, it is assumed that the designation area 81 is designated on the extraction target designation screen 60 and “20”% is designated in the input area 81A. In this case, the expenditure budget item “D” is an unnecessary amount “100” of the budget amount “1000”, which is lower than the specified ratio, and matches the condition. In this case, the data indicated by reference numeral 113 is output as an unnatural accounting content.

  Further, for example, the accounting database 30 of the storage unit 21 stores accounting data including a budget amount and an income amount. The evaluation unit 51 identifies the accounting data or the registrant of the accounting data that has a revenue budget in which the difference between the budget amount and the income amount is greater than a predetermined amount. The output unit 52 outputs the specified accounting data or the registrant of the accounting data as an audit candidate. For example, when the designated area 82 is designated on the extraction target designation screen 60, the evaluation unit 51 recognizes that the difference between the budget amount and the amount of income from the revenue budget master 37 is larger than the ratio entered in the input area 82A. Search for subjects. The output unit 52 extracts and outputs the search result.

  This will be described using a specific example. In the following description, only specific examples of data items used for extracting each unnatural accounting content will be described. That is, the revenue budget master 37 is not limited to the items described below, and may include other items.

  FIG. 22 is a diagram illustrating an example of the revenue budget master. In the example of FIG. 22, the revenue budget master 37 has items of revenue budget item, budget amount, and revenue amount. The item of the revenue budget item is an area for storing the budget item of revenue. The item of budget amount is an area for storing the budget amount of the revenue budget item. The item of the amount of revenue is an area for storing the amount of money already paid.

  In the example of FIG. 22, revenue budget data of the revenue budget item “A”, the budget amount “1000”, and the revenue amount “100” are registered. Further, revenue budget data of the revenue budget item “B”, the budget amount “1000”, and the revenue amount “150” are registered. Further, revenue budget data for the revenue budget item “C”, the budget amount “1000”, and the revenue amount “900” are registered. Further, revenue budget data of the revenue budget item “D”, the budget amount “1000”, and the revenue amount “1000” are registered.

  For example, it is assumed that the designation area 82 is designated on the extraction target designation screen 60 and “20”% is designated in the input area 82A. In this case, the revenue budget item “A” has an amount that is equal to or greater than the specified percentage of the revenue amount “100” and the difference between the budget amount and the income amount of the budget amount “1000”. Match. In addition, the revenue budget item “B” has a revenue amount “150” out of the budget amount “1000”, and the difference between the budget amount and the income amount is equal to or greater than the specified percentage, and it meets the conditions. To do. In this case, the data indicated by reference numeral 114 is output as unnatural accounting content.

  The output unit 52 extracts and outputs data corresponding to the evaluation result by the evaluation unit 51 and unnatural accounting contents. For example, the output unit 52 displays the extracted unnatural accounting content data on the terminal device instructed to extract the unnatural accounting content data.

  FIG. 23 is a diagram illustrating an example of an output result of unnatural accounting data. In the example of FIG. 23, the output result of unnatural accounting data includes the belonging, creditor, drafter, subject, warning message, slip type, slip number, draft date, payment date, slip number, amount Has each item. The extracted data of the corresponding item is stored in each item of affiliation, creditor, drafter, subject, slip type, slip number, draft date, payment date, slip number, and amount. The warning message field stores a message indicating what kind of unnatural accounting content the extracted record data corresponds to.

  In the example of FIG. 23, the first record indicates data ordered from the same employee to the same supplier before and after the change of the employee.

[Process flow]
Next, a flow of accounting data audit support in which the audit support apparatus 10 outputs unnatural accounting contents will be described. 24 and 25 are flowcharts showing an example of the procedure of the accounting data audit support process. This accounting data audit support process is executed at a predetermined timing, for example, when a condition is designated on the extraction target designation screen 60 and the output button 65 is selected.

  As shown in FIG. 24, the evaluation unit 51 designates extraction of data whose transaction results exceed a certain number of times (amount) in the same affiliation and the same contractor during a certain period such as a fiscal year on the extraction target designation screen 60. It is determined whether or not the designated area 70 has been designated (S10). When the designated area 70 is designated (Yes in S10), the evaluation unit 51 searches the accounting database 30 of the storage unit 21 for an accounting data group in which the registrant of accounting data or the registered department of accounting data matches the business partner. Ask. And the evaluation part 51 searches the accounting data group more than the frequency | count input into the input area 70A, the money amount input into the input area 70B, the registrant or registration department of this accounting data group (S11). And it transfers to below-mentioned S12. On the other hand, when the designated area 70 is not designated (No in S10), the process proceeds to S12 described later.

  Next, the evaluation unit 51 determines whether or not a designation area 71 that designates extraction of data ordered from the same staff to the same supplier is designated on the extraction target designation screen 60 before and after the change of staff ( S12). When the designated area 71 is designated (Yes at S12), the evaluation unit 51 identifies the staff member who has been transferred from the attendance database 40 and the department before the staff member is transferred. And the evaluation part 51 is the account which is transacting more than the amount of money inputted into the same supplier before and after the change about the staff specified from the accounting database 30, the number of times input to the input area 71A after the change, and the input area 71B. A registrant of the data group and the accounting data group is searched (S13). And it transfers to below-mentioned S14. On the other hand, when the designated area 71 is not designated (No at S12), the process proceeds to S14 described later.

  Next, in the extraction target designation screen 60, the evaluation unit 51 designates a designation area 72 that designates extraction of data that is performed in a time zone in which the system operation time is not easily noticeable, such as a holiday work day or a nighttime zone. It is determined whether or not (S14). When the designated area 72 is designated (Yes at S14), the evaluation unit 51 identifies the working hours of each staff member from the attendance form data 42 in the storage unit 21. Then, the evaluation unit 51 is from the accounting database 30. The accounting data group registered above the threshold in the overtime hours or holiday hours other than the working hours of the staff, and the registrant of the accounting data group are searched (S15). And it transfers to below-mentioned S16. On the other hand, when the designated area 72 is not designated (No in S14), the process proceeds to S16 described later.

  Next, the evaluation unit 51 determines whether or not a designation area 73 for designating extraction of data registered by the same staff member who has the same execution request, contract, and expenditure order is designated on the extraction target designation screen 60 (S16). . When the designated area 73 is designated (Yes at S16), the evaluation unit 51 registers the accounting data group in which the execution request, the contract, and the expenditure order are made by the same staff from the accounting database 30 of the storage unit 21, and the accounting data group A person or registered department is searched (S17). And it transfers to below-mentioned S18. On the other hand, when the designated area 73 is not designated (No at S16), the process proceeds to S18 described later.

  Next, the evaluation unit 51 determines whether or not a designation area 74 that designates extraction of data on which the system operation of the staff is performed during the business trip period of the staff is designated on the extraction target designation screen 60 ( S18). When the designated area 74 is designated (Yes in S18), the evaluation unit 51 identifies the business trip time zone of each staff member from the business trip information 43. Then, the evaluation unit 51 is from the accounting database 30. The accounting data group registered in the employee's business trip time zone and the registrant of the accounting data group are searched (S19). And it transfers to below-mentioned S20. On the other hand, when the designated area 74 is not designated (No at S18), the process proceeds to S20 described later.

  Next, as shown in FIG. 25, the evaluation unit 51 has a designation area 75 for designating extraction of data whose approval criteria changes from a single transaction when the transaction results of a plurality of transactions are added together on the extraction target designation screen 60. It is determined whether or not it has been designated (S20). When the designated area 75 is designated (Yes at S20), the evaluation unit 51 identifies an approver for the amount range for settlement from the settlement reference master 35. Then, the evaluation unit 51 searches the accounting database 30 for the accounting data group in which the approver changes, and the registrant of the accounting data group, as compared with the case of single data when the amounts of the same affiliation and the same business partner are added. (S21). And it transfers to below-mentioned S22. On the other hand, when the designated area 75 is not designated (No at S20), the process proceeds to S22 described later.

  Next, the evaluation unit 51 determines whether or not the designation area 76 for designating the extraction of transaction data with a small difference between the execution request amount and the expense burden act amount is designated on the extraction target designation screen 60 (S22). . When the designated area 76 is designated (Yes at S22), the evaluation unit 51 performs the following process. That is, the evaluation unit 51 refers to the expenditure burden act data 31 and the execution inquiry data 32, and for each contract, the ratio of the amount between the execution inquiry amount and the expenditure burden action amount corresponding to the execution inquiry amount is an input area. The accounting data group more than the ratio inputted in 76A and the registrants of the accounting data group are searched (S23). And it transfers to below-mentioned S24. On the other hand, when the designated area 76 is not designated (No at S22), the process proceeds to S24 described later.

  Next, the evaluation unit 51 determines whether or not the designation area 77 that designates the extraction of data that is being executed so that the balance of the payout budget is close to 0 yen is designated on the extraction target designation screen 60 ( S24). When the designated area 77 is designated (Yes at S24), the evaluation unit 51 obtains the amount of the budget from the expenditure budget master 36 for each subject of the budget. In addition, the evaluation unit 51 registers the accounting data group from which the budget remaining amount is less than the proportion of the amount input in the input area 77A within the predetermined period at the end of the fiscal year from the expenditure burden act data 31 and the accounting data group. The person is searched (S25). And it transfers to below-mentioned S26. On the other hand, when the designated area 77 is not designated (No at S24), the process proceeds to S26 described later.

  Next, the evaluation unit 51 determines whether or not a designation area 78 that designates extraction of data whose account information has been corrected from the expenditure command to the time of actual payment is designated on the extraction target designation screen 60 (S26). ). When the designated area 78 is designated (Yes in S26), the evaluation unit 51 corrects the account information from the expenditure command data 34 until the payment is executed after the expenditure command is temporarily issued, and the accounting data group, The registrant of the accounting data group is searched (S27). And it transfers to below-mentioned S28. On the other hand, when the designated area 78 is not designated (No at S26), the process proceeds to S28 described later.

  Next, the evaluation unit 51 determines whether or not the designation area 79 for designating the extraction of data on the case where the ratio of the change amount of the expenditure burden action exceeds a certain rate is designated on the extraction target designation screen 60 ( S28). When the designated area 79 is designated (Yes in S28), the evaluation unit 51 traces the change history of the expense burden action amount from the expense burden action data 31, and the change amount is greater than or equal to the amount entered in the designated area 79A. A registrant of the data group and the accounting data group is searched (S29). And it transfers to below-mentioned S30. On the other hand, when the designated area 79 is not designated (No at S28), the process proceeds to S30 described later.

  Next, the evaluation unit 51 determines whether or not a designation area 80 for designating data extraction of an expenditure budget item having a large ratio of carry-over amount / unused amount is designated on the extraction target designation screen 60 (S30). When the designated area 80 is designated (Yes in S30), the evaluation unit 51 determines the expenditure budget item of the accounting data in which the ratio of the carried forward amount or the unused amount to the expenditure budget is higher than the ratio entered in the input area 80A, or the accounting Data registrants are searched (S31). And it transfers to below-mentioned S32. On the other hand, when the designated area 80 is not designated (No in S30), the process proceeds to S32 described later.

  Next, the evaluation unit 51 determines whether or not the designation area 81 that designates the extraction of the data of the expenditure budget item with the low ratio of the unused amount is designated on the extraction target designation screen 60 (S32). When the designated area 81 is designated (Yes at S32), the evaluation unit 51 registers the expenditure budget item of the accounting data in which the ratio of the unused amount to the expenditure budget is lower than the ratio entered in the input area 81A, or the accounting data The person is searched (S33). And it transfers to below-mentioned S34. On the other hand, when the designated area 81 is not designated (No at S32), the process proceeds to S34 described later.

  Next, the evaluation unit 51 determines whether or not a designation area 82 for designating extraction of revenue budget data having a large difference between the budget amount and the revenue amount is designated on the extraction target designation screen 60 (S34). When the designated area 82 is designated (Yes in S34), the evaluation unit 51 searches the revenue budget master 37 for a revenue item in which the difference between the budget amount and the amount of income is larger than the ratio entered in the input area 82A. (S35). And it transfers to below-mentioned S36. On the other hand, when the designated area 82 is not designated (No at S34), the process proceeds to S36 described later.

  The output unit 52 outputs and displays the data extracted by the evaluation unit 51 on the terminal device (S36), and ends the process.

[effect]
As described above, the audit support apparatus 10 according to the present embodiment stores the accounting data regarding the expenditure burden act in the storage unit 21. The audit support device 10 refers to the storage unit 21 and extracts accounting data in which a plurality of pieces of expenditure burden action data of the same affiliation and the same business partner exist. The audit support apparatus 10 outputs the accounting data as a candidate for audit when the decision condition is different from the case of single data when the sum is summed. As a result, the audit support apparatus 10 can output unnatural accounting content data that is suspected of being divided and delivered, thereby improving the efficiency of auditing work for inappropriate accounting.

  Further, the audit support apparatus 10 according to the present embodiment stores the accounting data about the execution inquiry amount and the accounting data about the expenditure burden act amount corresponding to the execution inquiry amount in the storage unit 21. The audit support device 10 refers to the storage unit 21 and selects information on the accounting data group or the registrant of the accounting data group according to the degree of approximation between the amount of the execution request and the amount of the burden-paying action corresponding to the execution request amount. Output. As a result, the audit support apparatus 10 can output unnatural accounting content data that is suspected of adhesion to the contractor, and thus can improve the efficiency of the auditing work for inappropriate accounting.

  Further, the audit support apparatus 10 according to the present embodiment stores accounting data including the balance of the payout budget in the storage unit 21. The audit support device 10 refers to the storage unit 21 and outputs the accounting data in which the balance of the dividend budget is equal to or less than a predetermined amount within a predetermined period at the end of the fiscal year or the registrant of the accounting data as a candidate for audit. As a result, the audit support apparatus 10 can output unnatural accounting content data that is suspected of being deposited, and thus can improve the efficiency of auditing work for inappropriate accounting.

  Further, the audit support apparatus 10 according to the present embodiment stores accounting data including a spending instruction and account information in the storage unit 21. The audit support apparatus 10 refers to the storage unit 21 and outputs the accounting data or the registrant of the accounting data as a candidate for auditing by correcting the account information from when the expenditure command is issued until the payment is executed. . As a result, the audit support device 10 can output data of unnatural accounting contents that are suspected of private diversion of the staff, so that it is possible to improve the efficiency of auditing work of inappropriate accounting.

  In addition, the audit support device 10 according to the present embodiment stores accounting data including the amount information of the expense burden act in the storage unit 21. The audit support device 10 refers to the storage unit 21 and outputs the accounting data whose change amount is equal to or higher than a predetermined change rate or the registrant of the accounting data as a candidate for audit. As a result, the audit support device 10 can output data of unnatural accounting contents that are suspected of an employee's empty business trip or impersonation by another staff member, so that the efficiency of auditing work of inappropriate accounting is improved. Can do.

  Further, the audit support apparatus 10 according to the present embodiment stores accounting data including an expenditure budget of a carry-forward amount or an unused amount and a storage unit 21. The audit support device 10 refers to the storage unit 21, and the ratio of the expenditure budget of the carry forward amount or the unused amount is higher than the first predetermined rate, or the ratio of the expenditure budget of the unnecessary amount is lower than the second predetermined rate. The accounting data or the registrant of the accounting data is output as a candidate for audit. As a result, the audit support apparatus 10 can output unnatural accounting content data that is suspected of being fraudulent, so that the efficiency of the auditing operation for inappropriate accounting can be improved.

  Further, the audit support apparatus 10 according to the present embodiment stores accounting data including the budget amount and the income amount in the storage unit 21. The audit support device 10 refers to the storage unit 21 and outputs the accounting data having a revenue budget in which the difference between the budget amount and the amount of income is larger than a predetermined amount, or the registrant of the accounting data as an audit target candidate. . As a result, the audit support apparatus 10 can identify a task that is suspected of neglecting the duties of the staff in charge.

  Although the embodiments related to the disclosed apparatus have been described so far, the disclosed technology may be implemented in various different forms other than the above-described embodiments. Therefore, another embodiment included in the present invention will be described below.

  For example, in the first embodiment described above, the accounting database 30 includes the expenditure burden action data 31, the execution inquiry data 32, the conclusion contract data 33, the expenditure instruction data 34, the approval criteria master 35, the expenditure budget master 36, and the revenue budget master 37. Although the case where it memorize | stores was demonstrated, it is not limited to this. Moreover, in said Example 1, although the attendance database 40 demonstrated the case where the staff data 41, the attendance form data 42, and the business trip information 43 were memorize | stored, it is not limited to this. Any data configuration may be used as long as data used for extracting the inappropriate accounting data is stored.

  Further, the threshold value used for extracting each unnatural accounting content may be set as a ratio, may be set as a value such as an amount of money or the number of times, or a combination thereof. The threshold value used for extracting each unnatural accounting content may be set by the user from a screen or the like, may be stored in advance as a fixed value, or may be set automatically. For example, the audit support apparatus 10 analyzes the data of unnatural accounting contents in advance and automatically sets a threshold value that can extract the data of unnatural accounting contents by a predetermined ratio (for example, 80%) or more. May be.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific state of distribution / integration of each device is not limited to the one shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured. For example, the receiving unit 50, the evaluation unit 51, and the output unit 52 of the control unit 22 of the audit support apparatus 10 may be appropriately integrated. Further, the processing of each processing unit may be appropriately separated into a plurality of processing units. Further, all or any part of each processing function performed in each processing unit can be realized by a CPU and a program analyzed and executed by the CPU, or can be realized as hardware by wired logic. .

[Accounting Data Audit Support Program]
The various processes described in the above embodiments can also be realized by executing a program prepared in advance on a computer system such as a personal computer or a workstation. Therefore, in the following, an example of a computer system that executes a program having the same function as in the above embodiment will be described. FIG. 26 is a diagram illustrating a computer that executes an accounting data audit support program.

  As shown in FIG. 26, the computer 300 includes a central processing unit (CPU) 310, a hard disk drive (HDD) 320, and a random access memory (RAM) 340. These units 300 to 340 are connected via a bus 400.

  The HDD 320 stores in advance an accounting data audit support program 320a that performs the same functions as the receiving unit 50, the evaluation unit 51, and the output unit 52 described above. The accounting data audit support program 320a may be separated as appropriate.

  The HDD 320 stores various information. For example, the HDD 320 stores various data used for the OS and production plan.

  Then, the CPU 310 reads out and executes the accounting data audit support program 320a from the HDD 320, thereby executing the same operation as each processing unit of the embodiment. That is, the accounting data audit support program 320a executes the same operations as the reception unit 50, the evaluation unit 51, and the output unit 52.

  The accounting data audit support program 320a is not necessarily stored in the HDD 320 from the beginning.

  For example, the program is stored in a “portable physical medium” such as a flexible disk (FD), a CD-ROM, a DVD disk, a magneto-optical disk, or an IC card inserted into the computer 300. Then, the computer 300 may read and execute the program from these.

  Furthermore, the program is stored in “another computer (or server)” connected to the computer 300 via a public line, the Internet, a LAN, a WAN, or the like. Then, the computer 300 may read and execute the program from these.

  The following supplementary notes are further disclosed with respect to the embodiments including the above examples.

(Supplementary note 1)
Refer to the storage unit that stores the accounting data for the expense-paying activities, extract accounting data that has multiple expenses-bearing activity data for the same affiliation and the same business partner,
An accounting data audit support program for executing the process of outputting the accounting data as a candidate for auditing when the conditions for approval are different from the case of single data when the amount is added.

(Appendix 2)
Refer to the storage unit that stores the accounting data for the execution amount and the accounting data for the amount of expenses to be paid corresponding to the execution amount,
According to the degree of approximation of the amount between the execution request amount and the expenditure burden act corresponding to the execution request amount, a process for outputting information on the accounting data group or a registrant of the accounting data group is executed. Accounting data audit support program.

(Appendix 3)
Refer to the storage unit that stores the accounting data including the balance of the dividend budget,
An accounting data audit support program for executing a process for outputting accounting data in which a balance of a dividend budget is equal to or less than a predetermined amount within a predetermined period at the end of the fiscal year or a registrant of the accounting data as a candidate for audit.

(Appendix 4)
Refer to the storage unit that stores the accounting data including the expenditure order and account information,
Accounting data audit support, characterized in that the account information is corrected after the payment order is issued and payment is executed and the accounting data or the registrant of the accounting data is output as a candidate for audit. program.

(Appendix 5)
Refer to the storage unit that stores the accounting data including the amount information of the expense-paying activities,
An accounting data audit support program for executing processing for outputting accounting data whose change amount is a predetermined change rate or more or a registrant of the accounting data as a candidate for audit.

(Appendix 6)
Refer to the storage unit that stores the accounting data including the budget carried forward or unused amount,
The accounting budget of the carry-over amount or the unused amount is higher than the first predetermined rate or the accounting data of the unused amount is lower than the second predetermined rate or the registrant of the accounting data is audited. An accounting data audit support program characterized by executing a process to be output as a candidate.

(Appendix 7)
Refer to the storage unit that stores the accounting data including the budget amount and the amount of revenue,
Accounting data audit support characterized in that the accounting data whose revenue budget is larger than the predetermined amount and the registrant of the accounting data is output as a candidate for audit. program.

(Appendix 8) The computer
Refer to the storage unit that stores the accounting data for the expense-paying activities, extract accounting data that has multiple expenses-bearing activity data for the same affiliation and the same business partner,
An accounting data audit support method comprising: executing a process of outputting the accounting data as a candidate for audit when the conditions for approval are different from the case of single data when the amounts are added.

(Supplementary note 9)
Refer to the storage unit that stores the accounting data for the execution amount and the accounting data for the amount of expenses to be paid corresponding to the execution amount,
According to the degree of approximation of the amount between the execution request amount and the amount of the burden-paying act corresponding to the execution request amount, a process of outputting information on the accounting data group or a registrant of the accounting data group is executed. Accounting data audit support method.

(Supplementary note 10)
Refer to the storage unit that stores the accounting data including the balance of the dividend budget,
An accounting data audit support method characterized by executing processing for outputting accounting data in which a balance of a dividend budget is equal to or less than a predetermined amount within a predetermined period at the end of the fiscal year or a registrant of the accounting data as a candidate for audit.

(Appendix 11) The computer
Refer to the storage unit that stores the accounting data including the expenditure order and account information,
Accounting data audit support characterized in that the account information is corrected after the payment order is issued and payment is executed and the accounting data or the registrant of the accounting data is output as a candidate for audit. Method.

(Supplementary note 12)
Refer to the storage unit that stores the accounting data including the amount information of the expense-paying activities,
An accounting data audit support method comprising: executing processing for outputting accounting data whose change amount is equal to or greater than a predetermined change rate or a registrant of the accounting data as a candidate for audit.

(Supplementary note 13)
Refer to the storage unit that stores the accounting data including the budget carried forward or unused amount,
The accounting budget of the carry-over amount or the unused amount is higher than the first predetermined rate or the accounting data of the unused amount is lower than the second predetermined rate or the registrant of the accounting data is audited. An accounting data audit support method characterized by executing a process of outputting as a candidate.

(Supplementary note 14)
Refer to the storage unit that stores the accounting data including the budget amount and the amount of revenue,
Accounting data audit support characterized by executing processing that outputs accounting data or a registrant of the accounting data that has a revenue budget in which the difference between the budget amount and the amount of revenue is greater than a predetermined amount Method.

(Supplementary note 15) A storage unit that stores accounting data about the expenditure-bearing action;
With reference to the storage unit, an extraction unit that extracts accounting data in which there are a plurality of expenditure burden action data of the same affiliation and the same business partner,
Compared to the case of single data when summing the amount of accounting data extracted by the extraction unit, if the decision conditions are different, an output unit that outputs the accounting data as a candidate for auditing, and
An audit support apparatus characterized by comprising:

(Supplementary Note 16) A storage unit that stores accounting data about the amount of the execution request and accounting data about the amount of the expense burden corresponding to the execution amount,
An output unit that refers to the storage unit and outputs information related to the accounting data group or a registrant of the accounting data group according to the degree of approximation between the amount of the execution request and the amount of the expense burden corresponding to the execution request amount When,
An audit support apparatus characterized by comprising:

(Supplementary Note 17) A storage unit that stores accounting data including the balance of the dividend budget;
Referring to the storage unit, an output unit for outputting the accounting data in which the balance of the dividend budget is equal to or less than a predetermined amount within a predetermined period at the end of the fiscal year or a registrant of the accounting data as a candidate for auditing;
An audit support apparatus characterized by comprising:

(Supplementary Note 18) A storage unit that stores accounting data including expenditure instructions and account information;
An output unit that refers to the storage unit and outputs the accounting data or a registrant of the accounting data as a candidate for auditing after the account information is corrected after the payment instruction is issued and the payment is executed;
An audit support apparatus characterized by comprising:

(Supplementary note 19) A storage unit that stores accounting data including amount information of a burden-paying action;
An output unit that refers to the storage unit and outputs the accounting data whose change amount is equal to or greater than a predetermined change rate or a registrant of the accounting data as a candidate for auditing;
An audit support apparatus characterized by comprising:

(Supplementary Note 20) A storage unit that stores accounting data including an expenditure budget of a carried forward amount or an unused amount,
Referring to the storage unit, the accounting data of the carrying amount or the unused amount of the expenditure budget is higher than the first predetermined rate, or the proportion of the expenditure budget of the unused amount is lower than the second predetermined rate or the accounting data An output unit that outputs registrants as audit candidates.
An audit support apparatus characterized by comprising:

(Supplementary Note 21) A storage unit that stores accounting data including a budget amount and an income amount
With reference to the storage unit, an output unit that outputs accounting data or a registrant of the accounting data that is a revenue budget in which the difference between the budgeted amount and the amount of revenue is larger than a predetermined amount;
An audit support apparatus characterized by comprising:

DESCRIPTION OF SYMBOLS 10 Audit support device 21 Memory | storage part 22 Control part 30 Accounting database 31 Expense burden action data 32 Execution inquiry data 33 Conclusion contract data 34 Expenditure order data 35 Approval standard master 36 Expenditure budget master 37 Revenue budget master 40 Attendance database 41 Staff data 42 Attendance Form data 43 Business trip information 50 Reception unit 51 Evaluation unit 52 Output unit 60 Extraction target designation screen

Claims (3)

On the computer,
Refer to the storage unit that stores the accounting data for the expense-paying activities, extract accounting data that has multiple expenses-bearing activity data for the same affiliation and the same business partner,
An accounting data audit support program for executing the process of outputting the accounting data as a candidate for auditing when the conditions for approval are different from the case of single data when the amount is added. Computer
Refer to the storage unit that stores the accounting data for the expense-paying activities, extract accounting data that has multiple expenses-bearing activity data for the same affiliation and the same business partner,
An accounting data audit support method comprising: executing a process of outputting the accounting data as a candidate for audit when the conditions for approval are different from the case of single data when the amounts are added. A storage unit that stores accounting data on the burden of spending;
With reference to the storage unit, an extraction unit that extracts accounting data in which there are a plurality of expenditure burden action data of the same affiliation and the same business partner,
Compared to the case of single data when summing the amount of accounting data extracted by the extraction unit, if the decision conditions are different, an output unit that outputs the accounting data as a candidate for auditing, and
An audit support apparatus characterized by comprising:

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