Lesson learned implementing a large-scale data mesh transformation at PAYBACK
Data Mesh aims at solving the challenges of modern data-driven and data-intensive organizations with 4 key pillars: domain-driven data ownership, data as a product, self-serve data platform, federated computational governance. Translating these pillars into a sound tech roadmap and organizational transformation is a journey where every decision or step matters for better or worst.
In this talk we will share the lessons learned from a the three-year Data Mesh journey at PAYBACK as where to start from and what to start with (e.g. tech, data, teams, domains, organization); how to build full data ownership without generating unnecessary overhead on people; how to prevent data product fragmentation; what to look for when migrating data and processes from data warehouses and data lakes into data products; and, most importantly, how to make sure the entire organization benefits from these initiatives (and be aware of them)
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