TY  - Type of reference 
TI  - A hierarchical approach to assessing the value of data 
AU  - Jacky Akoka
 
AU  - Isabelle Comyn-Wattiau 
AB  - Data is a strategic asset for organizations. Assessing its value provides companies with a mean to identify strategies that offer a competitive advantage and to measure their informational capital. There is neither an approach nor a set of standards and rules to apply for this valuation due to the intangible nature of data. In this paper, we propose an approach combining an enriched concept of data value, a conceptual model including this concept and the notion of context, and a value assessment method based on this model. The originality is to combine risk-based approaches with the more classical approaches to the valuation of tangible assets (cost, market, or income approaches). The approach is confronted with several real cases from the literature allowing a validation of its usefulness and added value. 
DO  - 10.21494/ISTE.OP.2024.1192 
JF  - Open Journal in Information Systems Engineering 
KW  - Data value, data valuation, conceptual model, analytical hierarchy process (AHP), context, risk, cost, aleur des données, évaluation, modèle conceptuel, approche hiérarchique multicritères, contexte, risque, coût,  
L1  - https://openscience.fr/IMG/pdf/iste_roisi24v4n2_1.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2024/08/29 
SN  - 2634-1468 
TT  - Une approche arborescente d’évaluation de la valeur des données 
UR  - https://openscience.fr/A-hierarchical-approach-to-assessing-the-value-of-data 
IS  - Issue 2 
VL  - 4 
ER  -