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SynDEc: A Synthetic Data Ecosystem

Author

Listed:
  • Fabian Sven Karst

    (University of St.Gallen, Institute of Information Systems and Digital Business)

  • Mahei Manhai Li

    (University of St.Gallen, Institute of Information Systems and Digital Business
    University of Kassel, Information Systems)

  • Jan Marco Leimeister

    (University of St.Gallen, Institute of Information Systems and Digital Business
    University of Kassel, Information Systems)

Abstract

Given the critical role of data availability for growth and innovation in financial services, especially small and mid-sized banks lack the data volumes required to fully leverage AI advancements for enhancing fraud detection, operational efficiency, and risk management. With existing solutions facing challenges in scalability, inconsistent standards, and complex privacy regulations, we introduce a synthetic data sharing ecosystem (SynDEc) using generative AI. Employing design science research in collaboration with two banks, among them UnionBank of the Philippines, we developed and validated a synthetic data sharing ecosystem for financial institutions. The derived design principles highlight synthetic data setup, training configurations, and incentivization. Furthermore, our findings show that smaller banks benefit most from SynDEcs and our solution is viable even with limited participation. Thus, we advance data ecosystem design knowledge, show its viability for financial services, and offer practical guidance for privacy-resilient synthetic data sharing, laying groundwork for future applications of SynDEcs.

Suggested Citation

  • Fabian Sven Karst & Mahei Manhai Li & Jan Marco Leimeister, 2025. "SynDEc: A Synthetic Data Ecosystem," Electronic Markets, Springer;IIM University of St. Gallen, vol. 35(1), pages 1-28, December.
    • Handle: RePEc:spr:elmark:v:35:y:2025:i:1:d:10.1007_s12525-024-00746-8
    DOI: 10.1007/s12525-024-00746-8
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    More about this item

    Keywords

    Synthetic data; Data sharing platform; Data ecosystem; Financial services; Data scarcity;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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