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  • 标题:Towards financial valuation in data-driven companies
  • 本地全文:下载
  • 作者:M. Eugenia Pérez-Pons ; Alfonso González-Briones ; Juan M. Corchado
  • 期刊名称:Oriental Journal of Computer Science and Technology
  • 印刷版ISSN:0974-6471
  • 出版年度:2019
  • 卷号:12
  • 期号:2
  • 页码:28-33
  • DOI:10.13005/ojcst12.02.01
  • 出版社:Oriental Scientific Publishing Company
  • 摘要:The following work presents a methodology of determining the economic value of the data owned by a company in a given time period. The ability to determine the value of data at any point of its lifecycle, would make it possible to study the added value that data gives to a company in the long term. Not only external data should be considered but also the impact that the internal data can have on company revenues. The project focuses on data-driven companies, which are different to the data-oriented ones, as explained below. Since some studies affirm that data-driven companies are more profitable, the indirect costs of using those data must be allocated somewhere to understand their financial value14 and to present a possible alternative for measuring the financial impact of data on the revenue of companies.
  • 关键词:Case-Based Reasoning ; Data-Driven Companies ; Financial Valuation ; Recommendation Systems
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