Data Mesh and its Contribution to Data Governance

: A case study within the financial asset management industry

Abstract

In world where organizations face increasing challenges in dealing with data as its complexity and volume increases, traditional data architectures are having their limits tested. Data mesh provides a modern-day solution, yet its implications for data governance remain largely unknown. This case study explores how data mesh principles align with data governance initiatives. The case study uncovers tangible benefits of how data mesh can contribute to data governance. The conclusion unveils that the four principles of data mesh; domain ownership, product thinking, self-serve data platforms, and federated computational governance can provide a robust foundation for data governance, if not a method to operationalize data governance. These contributions can aid organizations in mastering their data landscapes. These findings provide insights to decentralized data governance strategies and offer practical implications for organizations striving for data mesh transformations.

Date of Award	1 Sept 2023
Original language	English
Supervisor	Karel Lemmen (Supervisor) & Pien Walraven (Examiner)