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Towards Financial Valuation in Data-Driven Companies


Affiliations
1 BISITE Research Group, University of Salamanca. Edificio I+D+i, Calle Espejo2, 37007, Salamanca, Spain
2 Air Institute, IoT Digital Innovation Hub, Carbajosa de la Sagrada, 37188, Salamanca, Spain
 

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.
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  • Towards Financial Valuation in Data-Driven Companies

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Authors

M. Eugenia Perez-Pons
BISITE Research Group, University of Salamanca. Edificio I+D+i, Calle Espejo2, 37007, Salamanca, Spain
Alfonso Gonzalez-Briones
Air Institute, IoT Digital Innovation Hub, Carbajosa de la Sagrada, 37188, Salamanca, Spain
Juan M. Corchado
BISITE Research Group, University of Salamanca. Edificio I+D+i, Calle Espejo2, 37007, Salamanca, Spain

Abstract


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.

References





DOI: https://doi.org/10.13005/ojcst12.02.01