Towards a taxonomy for business capabilities determining data value

Abstract

Data and its valuation become increasingly crucial for enterprises and academia, which coincides a multitude of data valuation approaches including numerous affected focus areas, dimensions, and characteristics. Therefore, this paper analyzes different approaches to determine data value from a business capability perspective according to the TOGAF standard. Specifically, this paper deals with (a) the development of a taxonomy for data valuation business capabilities (DVBC) as well as (b) the taxonomy validation by the use of existing data valuation approaches. The applied methodologies are taxonomy development techniques for information systems, which are based on a previously executed systematic literature review with a sample size of 67 articles. Further, the data valuation business capability taxonomy is validated through applying two recent data valuation approaches from academia. As a result, the taxonomy developed consists of four business capability layers, nine dimensions, and 36 characteristics. The characteristics are of exclusive or non-exclusive nature, depending on their meaningfulness, and are validated by the successful application of two data valuation approaches. Compiled findings meet both objective and subjective quality standards. With the developed DVBC taxonomy, scholars and professionals are equipped with a tool to classify and structure their data valuation endeavors. In addition, the DVBC taxonomy bridges the domains of information systems, enterprise architecture management, and data management to serve as a foundation for interdisciplinary value generation with and through data.

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