CN105069575A - Data asset value evaluation method - Google Patents
Data asset value evaluation method Download PDFInfo
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- CN105069575A CN105069575A CN201510516110.8A CN201510516110A CN105069575A CN 105069575 A CN105069575 A CN 105069575A CN 201510516110 A CN201510516110 A CN 201510516110A CN 105069575 A CN105069575 A CN 105069575A
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- data assets
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Abstract
The invention provides a data asset value evaluation method. The method comprises steps: a data asset value evaluation model is built; data asset cost is read; a data asset application evaluation coefficient is read; the data asset cost and the data asset application evaluation coefficient are inputted to the data asset value evaluation model to obtain a data asset value evaluation value. Starting from the cost, in combination with the application process, the method of the invention builds the data asset value evaluation model, the intrinsic value and the use value of the data assets are quantified, multi-angle value evaluation of the data assets is realized, and maximized realization value of the data assets is promoted.
Description
Technical field
The present invention relates to Computer Applied Technology field, specifically a kind of appraisal procedure of data assets value.
Background technology
The essence of data assets is the economic activity participating in enterprise as a kind of economic resources, can reduce and eliminate the risk in enterprise economic activity, for the management control of enterprise and science decision provide rational basis, and expects and brings economic benefit to enterprise.Data assets value assessment problem, also will become one of key problem of enterprise's valuation.
The value assessment of data assets, when the usage mining work carrying out large data, can be dissolved in Data Analysis Model, quantize enterprise data quality management situation by enterprise, and provides foundation for corporate decision; The data management service of enterprise also in conjunction with the value assessment situation of data assets, can analyze business data capitalization degree, Develop Data capitalization work with a definite target in view.Artificially identify the many employings of the value assessment of data assets at present, efficiency is low, length consuming time, lacks objectivity.
Summary of the invention
The appraisal procedure that the object of the present invention is to provide a kind of data assets to be worth, realizes the quantitative evaluation of data assets value to promote that data assets realized value maximizes.
Technical scheme of the present invention is:
The appraisal procedure that data assets is worth, the method comprises the following steps:
(1) data assets appraisal Model is built;
(2) data assets cost is read;
(3) data assets application metewand is read;
(4) described data assets cost and data assets application metewand are inputted described data assets appraisal Model, obtain the assessed value that data assets is worth.
The appraisal procedure that described data assets is worth, in step (1), described data assets appraisal Model is specially:
V=C*(1+λ)
Wherein, V represents that data assets is worth, and C represents data assets cost, and λ represents data assets application metewand.
The appraisal procedure that described data assets is worth, in step (2), described data assets cost is obtained by following steps:
(21) data assets construction cost is read;
(22) read data assets operation and maintenance expenses to use;
(23) following formulae discovery is adopted to obtain data assets cost:
C=J+Y
Wherein, C represents data assets cost, and J represents data assets construction cost, and Y represents that data assets operation and maintenance expenses are used.
The appraisal procedure that described data assets is worth, in step (3), described data assets application metewand is obtained by following steps:
A, employing AHP method build data assets application evaluation index system;
B, employing yaahp analytical hierarchy process software calculate the weight of each application evaluation index;
C, following formulae discovery is adopted to obtain data assets application metewand:
Wherein, λ represents data assets application metewand, a
irepresent the weight of i-th application evaluation index, b
ijrepresent the score value of the jth item assessment factor of i-th application evaluation index.
The appraisal procedure that described data assets is worth, in step (21), described data assets construction cost is obtained by following steps:
A, reading Information System configuration expense;
The ratio that b, reading Information System configuration expense are shared in data assets construction cost;
C, following formulae discovery is adopted to obtain data assets construction cost:
J=P/x
Wherein, J represents data assets construction cost, and P represents Information System configuration expense, and x represents the ratio that Information System configuration expense is shared in data assets construction cost.
The appraisal procedure that described data assets is worth, in step (22), described data assets operation and maintenance expenses are obtained by following steps:
A, the business operation labour cost reading every day and traffic operation staff work number of days, adopt following formulae discovery to obtain business operation expense:
Y
b=p
b*d
b
Wherein, Y
brepresent that business operation takes, p
brepresent the business operation labour cost of every day, d
brepresent traffic operation staff work number of days;
B, the technology O&M labour cost reading every day and technology operation maintenance personnel work number of days, adopt following formulae discovery to obtain technology operation and maintenance expenses:
Y
t=p
t*d
t
Wherein, Y
tpresentation technology operation and maintenance expenses, p
trepresent the technology O&M labour cost of every day, d
tpresentation technology operation maintenance personnel work number of days;
The business operation expense that c, basis obtain and technology operation and maintenance expenses, adopt following formulae discovery to obtain data assets operation and maintenance expenses and use:
Y=Y
b+Y
t
Wherein, Y represents that data assets operation and maintenance expenses are used.
As shown from the above technical solution, the present invention from cost, connected applications process, build data assets appraisal Model, quantize inherent value and the use value of data assets, achieved the multi-angle value assessment of data assets, promoted that data assets realized value maximizes.
Accompanying drawing explanation
Fig. 1 is method flow diagram of the present invention.
Embodiment
The present invention is further illustrated below in conjunction with the drawings and specific embodiments.
As shown in Figure 1, the appraisal procedure that a kind of data assets is worth, comprises the following steps:
S1, structure data assets appraisal Model:
V=C*(1+λ)
Wherein, V represents that data assets is worth, and C represents data assets cost, and λ represents data assets application metewand.
S2, reading data assets cost:
Data assets cost by data assets construction cost and the expenditure pattern of data assets O&M, that is:
C=J+Y
Wherein, J represents data assets construction cost, and Y represents that data assets operation and maintenance expenses are used.
Data assets construction cost is obtained according to certain pro rata distribution by Information System configuration expense, and this ratio is that the number of the data volume produced according to the data resource of composition data assets determines then have:
J=P/x
Wherein, P represents Information System configuration expense, and x represents the ratio that Information System configuration expense is shared in data assets construction cost.
Data assets operation and maintenance expenses are formed with by business operation expense and technology operation and maintenance expenses, namely have:
Y=Y
b+Y
t
Y
b=p
b*d
b
Y
t=p
t*d
t
Wherein, Y
brepresent that business operation takes, Y
tpresentation technology operation and maintenance expenses, p
brepresent the business operation labour cost of every day, d
brepresent traffic operation staff work number of days, p
trepresent the technology O&M labour cost of every day, d
tpresentation technology operation maintenance personnel work number of days.
S3, reading data assets application metewand:
According to the analysis to the application of data assets value and assessment factor, adopt AHP method, obtain the index system as following table:
Then adopt yaahp analytical hierarchy process software to calculate weight, determine to apply metewand:
Suppose total n application evaluation index, the weight of each application evaluation index is designated as a
i, i=1,2 ..., n, suppose that the assessment factor of each application evaluation index has m item, the score value of each assessment factor is designated as b
ij, i=1,2 ..., n, j=1,2 ..., m, then data assets application metewand λ adopts following formula to calculate:
S4, by the data assets cost that reads and data assets application metewand input data assets appraisal Model, calculate the assessed value of data assets value.
The present invention can be applicable to electric system operation monitoring center, starts with and sets up data assets appraisal Model, facilitate the optimizing process of operation data assets from the forming process of operation data assets.
The above embodiment is only be described the preferred embodiment of the present invention; not scope of the present invention is limited; under not departing from the present invention and designing the prerequisite of spirit; the various distortion that those of ordinary skill in the art make technical scheme of the present invention and improvement, all should fall in protection domain that claims of the present invention determine.
Claims (6)
1. an appraisal procedure for data assets value, it is characterized in that, the method comprises the following steps:
(1) data assets appraisal Model is built;
(2) data assets cost is read;
(3) data assets application metewand is read;
(4) described data assets cost and data assets application metewand are inputted described data assets appraisal Model, obtain the assessed value that data assets is worth.
2. the appraisal procedure of data assets value according to claim 1, it is characterized in that, in step (1), described data assets appraisal Model is specially:
V=C*(1+λ)
Wherein, V represents that data assets is worth, and C represents data assets cost, and λ represents data assets application metewand.
3. the appraisal procedure of data assets value according to claim 1, it is characterized in that, in step (2), described data assets cost is obtained by following steps:
(21) data assets construction cost is read;
(22) read data assets operation and maintenance expenses to use;
(23) following formulae discovery is adopted to obtain data assets cost:
C=J+Y
Wherein, C represents data assets cost, and J represents data assets construction cost, and Y represents that data assets operation and maintenance expenses are used.
4. the appraisal procedure of data assets value according to claim 1, it is characterized in that, in step (3), described data assets application metewand is obtained by following steps:
A, employing AHP method build data assets application evaluation index system;
B, employing yaahp analytical hierarchy process software calculate the weight of each application evaluation index;
C, following formulae discovery is adopted to obtain data assets application metewand:
Wherein, λ represents data assets application metewand, a
irepresent the weight of i-th application evaluation index, b
ijrepresent the score value of the jth item assessment factor of i-th application evaluation index.
5. the appraisal procedure of data assets value according to claim 3, it is characterized in that, in step (21), described data assets construction cost is obtained by following steps:
A, reading Information System configuration expense;
The ratio that b, reading Information System configuration expense are shared in data assets construction cost;
C, following formulae discovery is adopted to obtain data assets construction cost:
J=P/x
Wherein, J represents data assets construction cost, and P represents Information System configuration expense, and x represents the ratio that Information System configuration expense is shared in data assets construction cost.
6. the appraisal procedure of data assets value according to claim 3, it is characterized in that, in step (22), described data assets operation and maintenance expenses are obtained by following steps:
A, the business operation labour cost reading every day and traffic operation staff work number of days, adopt following formulae discovery to obtain business operation expense:
Y
b=p
b*d
b
Wherein, Y
brepresent that business operation takes, p
brepresent the business operation labour cost of every day, d
brepresent traffic operation staff work number of days;
B, the technology O&M labour cost reading every day and technology operation maintenance personnel work number of days, adopt following formulae discovery to obtain technology operation and maintenance expenses:
Y
t=p
t*d
t
Wherein, Y
tpresentation technology operation and maintenance expenses, p
trepresent the technology O&M labour cost of every day, d
tpresentation technology operation maintenance personnel work number of days;
The business operation expense that c, basis obtain and technology operation and maintenance expenses, adopt following formulae discovery to obtain data assets operation and maintenance expenses and use:
Y=Y
b+Y
t
Wherein, Y represents that data assets operation and maintenance expenses are used.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105354737A (en) * | 2015-12-02 | 2016-02-24 | 国家电网公司 | Computing method suitable for big data value evaluation |
CN107085807A (en) * | 2017-04-19 | 2017-08-22 | 迅鳐成都科技有限公司 | A kind of data assets method of commerce based on block chain |
CN109447474A (en) * | 2018-10-30 | 2019-03-08 | 国信优易数据有限公司 | A kind of user data Valuation Method and assessment system |
CN110210715A (en) * | 2019-05-08 | 2019-09-06 | 深圳中大环保科技创新工程中心有限公司 | The assets value of nature reserve area determines method and Related product |
CN110858343A (en) * | 2018-08-23 | 2020-03-03 | 国信优易数据有限公司 | Data asset value evaluation system and method |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103917994A (en) * | 2011-03-24 | 2014-07-09 | 信用公司 | Credibility scoring and reporting |
-
2015
- 2015-08-19 CN CN201510516110.8A patent/CN105069575A/en active Pending
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103917994A (en) * | 2011-03-24 | 2014-07-09 | 信用公司 | Credibility scoring and reporting |
Non-Patent Citations (1)
Title |
---|
罗艳: "企业信息系统价值评估研究", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105354737A (en) * | 2015-12-02 | 2016-02-24 | 国家电网公司 | Computing method suitable for big data value evaluation |
CN107085807A (en) * | 2017-04-19 | 2017-08-22 | 迅鳐成都科技有限公司 | A kind of data assets method of commerce based on block chain |
CN110858343A (en) * | 2018-08-23 | 2020-03-03 | 国信优易数据有限公司 | Data asset value evaluation system and method |
CN109447474A (en) * | 2018-10-30 | 2019-03-08 | 国信优易数据有限公司 | A kind of user data Valuation Method and assessment system |
CN110210715A (en) * | 2019-05-08 | 2019-09-06 | 深圳中大环保科技创新工程中心有限公司 | The assets value of nature reserve area determines method and Related product |
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Application publication date: 20151118 |