Data management within data mesh framework

Rajib Chakravorty
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Rajib Chakravorty: Senior Data Management/Strategy Leader, UK

Journal of Securities Operations & Custody, 2025, vol. 17, issue 3, 261-272

Abstract: Organisations are facing challenges with data management as traditional solutions struggle to handle the complexity and volume of data. Three key stakeholders are involved: data producers who create data, data consumers who rely on its quality and data teams tasked with maintaining it. Generally, there are more producers and consumers than data teams, leading to strain on the data teams when issues arise. Often, data producers feel responsible for the data, making it harder to address quality problems that affect consumers. A new approach known as data mesh aims to improve this situation by emphasising decentralisation and domain-driven design. In a data mesh, responsibility for data is distributed among domain teams, not centralised in a single team. These teams are accountable for delivering high-quality data to others, treating it like a product. Additionally, a self-serve data infrastructure platform is proposed to support these teams by offering necessary tools and systems. The scalability, improved collaboration and agility offered by the data mesh paradigm, may contribute largely to the success of projects and programmes within an organisation. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Keywords: data mesh; data sharing; data ownership; data governance; data domain (search for similar items in EconPapers)
JEL-codes: E5 G2 K22 (search for similar items in EconPapers)
Date: 2025
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