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Data Strategy — Transforming into a Data-Driven Enterprise

In: DATA STRATEGY AND AI VALUE CREATION For Data Leaders by Data Leaders

Author

Listed:
  • Christine Legner
  • Tobias Pentek

Abstract

Many companies recognize the strategic importance of data but realize that it takes time to transform their organization’s approach to data. A data strategy — as a strong enterprise-wide framework for all data-related activities — is needed to guide this transformation. Still, it is often unclear what an effective data strategy is made of. In this chapter, we provide a definition of data strategy and outline its building blocks as well as how it links to other corporate strategies. Drawing from an analysis of data strategies of over 30 firms, we offer practical recommendations and a checklist to effectively develop and implement a data strategy.

Suggested Citation

  • Christine Legner & Tobias Pentek, 2025. "Data Strategy — Transforming into a Data-Driven Enterprise," World Scientific Book Chapters, in: Wai Fong Boh & Chee Hua (Neumann) Chew & Thara Ravindran (ed.), DATA STRATEGY AND AI VALUE CREATION For Data Leaders by Data Leaders, chapter 2, pages 7-24, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789819800858_0002
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    More about this item

    Keywords

    Data Strategy; Data Governance; Data Quality; Privacy Protection; Artificial Intelligence; Generative AI; Business Value; Innovation; Digital Transformation; Regulations;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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