In today's organisations, data is primarily managed by a large central delivery team focused solely on addressing transversal demand for data and analytics while defining a central governance to ensure consistency and reliability for the whole organisation.

As data and the capabilities surrounding it grow rapidly, centralised data teams face a rising demand from stakeholders.This article details the challenges that organisations incur by managing their data in overly centralized manner:

• Centralised data teams have to face an increasing demand from the business
• Prioritizing between a wide-ranging list of requirements is difficult
• Lack of full end-to-end data ownership
• Domain knowledge gets lost somewhere on the way through the central hub

Introduced by Zhamak Deghani with her article "How to Move Beyond a Monolithic Data to a Distributed Data Mesh", Data Mesh is a true paradigm shift in how we manage data at scale. This is based on 3 different pillars:

• Governed decentralisation is the next step for increasing operationalisation
• Your organisation needs to consider a self-service infrastructure as a platform (by Snowflake)
• A federated governance model: consistency, compliance, and quality (by Collibra)

In this publication Deloitte, Collibra and Snowflake joined their areas of expertise to give a cross-company point of view on how Data Mesh can support organisations in their journey to become increasingly data-driven.