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Data Strategy Development: A Taxonomy for Data Strategy Tools and Methodologies in the Economy

In: Innovation Through Information Systems

Author

Listed:
  • Inan Gür

    (Fraunhofer Institute for Software and Systems Engineering)

  • Markus Spiekermann

    (Fraunhofer Institute for Software and Systems Engineering)

  • Michael Arbter

    (Fraunhofer Institute for Software and Systems Engineering)

  • Boris Otto

    (Fraunhofer Institute for Software and Systems Engineering
    TU Dortmund)

Abstract

Data are a key driver of the digital era. They shift the strategic landscape of organizations and change how companies approach their business. Nevertheless, existing approaches on data strategies vary vastly and little common ground is visible. Therefore, we develop a comprehensive taxonomy for data strategy tools and methodologies in order to identify characteristics and relevant properties of data strategy. We derived the taxonomy inductively by analyzing existing data strategy tools and methodologies offered in the current economy and deductively by conducting a structured literature review on the existing body of knowledge in the scientific literature. It serves as a scientific instrument to profoundly assess and create data strategies and work towards a consensus in the respective research field.

Suggested Citation

  • Inan Gür & Markus Spiekermann & Michael Arbter & Boris Otto, 2021. "Data Strategy Development: A Taxonomy for Data Strategy Tools and Methodologies in the Economy," Lecture Notes in Information Systems and Organization, in: Frederik Ahlemann & Reinhard Schütte & Stefan Stieglitz (ed.), Innovation Through Information Systems, pages 448-461, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-86790-4_30
    DOI: 10.1007/978-3-030-86790-4_30
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