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Eugenia Perez-Pons, M.
- Towards Financial Valuation in Data-Driven Companies
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Authors
Affiliations
1 BISITE Research Group, University of Salamanca. Edificio I+D+i, Calle Espejo2, 37007, Salamanca, ES
2 Air Institute, IoT Digital Innovation Hub, Carbajosa de la Sagrada, 37188, Salamanca, ES
1 BISITE Research Group, University of Salamanca. Edificio I+D+i, Calle Espejo2, 37007, Salamanca, ES
2 Air Institute, IoT Digital Innovation Hub, Carbajosa de la Sagrada, 37188, Salamanca, ES
Source
Oriental Journal of Computer Science and Technology, Vol 12, No 2 (2019), Pagination: 28-33Abstract
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.Keywords
Case-Based Reasoning, Data-Driven Companies, Financial Valuation, Recommendation Systems.Full Text
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