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Research Paper | Information Technology | India | Volume 12 Issue 7, July 2023 | Popularity: 5.2 / 10

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Case Studies of Data Mesh Adoption in Fintech: Lessons Learned - Present Case Studies of Financial Institutions

Abhilash Katari

Abstract: In the rapidly evolving fintech landscape, the adoption of Data Mesh has emerged as a game-changer for managing and leveraging vast amounts of data. This article delves into the real-world experiences of financial institutions that have embraced Data Mesh, offering valuable insights into their journeys. Through detailed case studies, we explore the successes, challenges, and lessons learned from these pioneering organizations. One financial institution redefined its data architecture, enabling decentralized data ownership and improved data quality. Their journey highlights the importance of cultural change and the need for robust data governance frameworks. Another case study showcases a fintech company that leveraged Data Mesh to enhance its customer analytics, resulting in personalized financial products and services. Their success underscores the transformative power of domain-oriented data management. However, the path to Data Mesh adoption is not without hurdles. We discuss the common challenges faced, such as integrating legacy systems, ensuring data interoperability, and managing cross-functional collaboration. These stories provide a realistic view of the complexities involved and the strategies employed to overcome them. Key takeaways from these case studies emphasize the critical role of leadership in driving data-centric transformation, the necessity of continuous education and upskilling, and the value of fostering a data-driven culture. By learning from these experiences, other financial institutions can better navigate their own Data Mesh adoption journeys, ultimately unlocking the full potential of their data assets.

Keywords: Data Mesh, fintech, data scalability, data governance, data architecture, decentralized data management, real-time analytics, data domains, data ownership, financial institutions, case studies, best practices, lessons learned

Edition: Volume 12 Issue 7, July 2023

Pages: 2311 - 2318

DOI: https://www.doi.org/10.21275/SR24926100920

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