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A Digital Insight Provider From Financial Documents In Banking

Published: 08 June 2020 Publication History

Abstract

Calculating credibility and ensuring financial sustainability of companies are major challenges for financial centers. Customer relationship managers in a bank are responsible for maintaining and expanding their portfolios. Trial balance is a semi-structured financial document in which related transactions, assets, and liabilities of a company are recorded in detail. Trial balances are very important for customer relationship managers because they not only picture the financial situation of the company but also contain new sales opportunities. However, due to the size of these documents and other responsibilities of customer relationship managers, examining trial balances manually is not feasible. In this paper, we present a structured information retrieval and data analysis system which provides new sales opportunities by automatically and recursively digitalizing documents of the bank's customers. With high-end interactive visualization capabilities, such a system is crucial for customer relationship managers to maintain and expand their portfolios. This system works with high confidence, hence it not only saves customer relationship managers' time but also eliminates human mistakes.

References

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Gokce Aydugan Baydar and Secc il Arslan. 2019. FOCA: A System for Classification, Digitalization and Information Retrieval of Trial Balance Documents. (2019).
[2]
Raphael Kaplinsky and Mike Morris. 2001. A handbook for value chain analysis. Ottawa: International Development Research Centre (2001).
[3]
Jeffrey Heer Vadim Ogievetsky Mike Bostock, Jason Davies and community. 2011. D3 Data-Driven Documents. https://d3js.org/
[4]
Michael E Porter and Competitive Advantage. 1985. Creating and sustaining superior performance. Competitive advantage, Vol. 167 (1985), 167--206.
[5]
YapıKredi Technology. 2019. Digital Trial Balance. http://www.ykteknoloji.com.tr/Assets/pdf/yapi_kredi_dijital_mizan_brosur-14--20x20_ENG.pdf
[6]
Jerry J Weygandt, Paul D Kimmel, and Donald E Kieso. 2009. Financial accounting 9th ed.). John Wiley & Sons.

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cover image ACM Conferences
ICDAR '20: Proceedings of the 2020 ACM Workshop on Intelligent Cross-Data Analysis and Retrieval
June 2020
44 pages
ISBN:9781450375092
DOI:10.1145/3379174
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 June 2020

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Author Tags

  1. data analysis
  2. data visualization
  3. information retrieval

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  • Research-article

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  • Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

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ICMR '20
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