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Measuring the economic value of data and cross-border data flows: A business perspective

Author

Listed:
  • David Nguyen

    (Economic Statistics Centre of Excellence)

  • Marta Paczos

    (Economic Statistics Centre of Excellence)

Abstract

The amount and variety of data that companies collect, aggregate and analyse has increased dramatically in recent years. This paper investigates how the economic value of data can be conceptualised and measured from a business perspective. It discusses data monetisation as a strategy for developing new business models or enhancing traditional ones, and proposes a new taxonomy for data that focuses on measuring its business value. The paper also discusses how different data characteristics and types affect economic value, before examining the role of cross-border data flows as a key enabler of our global economy. As part of this discussion, the concept of a "global data value chain" is presented, based on the idea that digitalisation enables the physical detachment of data collection, analysis, storage and monetisation. The paper concludes with a summary and discussion of the most promising avenues for measuring the economic value of data.

Suggested Citation

  • David Nguyen & Marta Paczos, 2020. "Measuring the economic value of data and cross-border data flows: A business perspective," OECD Digital Economy Papers 297, OECD Publishing.
    • Handle: RePEc:oec:stiaab:297-en
    DOI: 10.1787/6345995e-en
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    Cited by:

    1. Diane Coyle & Wendy Li, 2021. "The Data Economy: Market Size and Global Trade," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-09, Economic Statistics Centre of Excellence (ESCoE).
    2. Lei Zhou & Qing Xia & Huaping Sun & Ling Zhang & Xu Jin, 2023. "The Role of Digital Transformation in High-Quality Development of the Services Trade," Sustainability, MDPI, vol. 15(5), pages 1-16, February.
    3. Theile, Philipp & Farag, Markos & Kopp, Thomas, 2022. "Does information substitute or complement energy? - A mediation analysis of their relationship in European economies," VfS Annual Conference 2022 (Basel): Big Data in Economics 264123, Verein für Socialpolitik / German Economic Association.

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    Keywords

    digital; science and technology;

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