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Untangle your mess and knit your mesh

A cross-company point of view on a new paradigm shift

 

Organisations have already come a long way to exploit data

The increasing digitalisation of our environment is leading to an exponential expansion in the amount of data and an extension of its sources. Initially seen as a tremendous opportunity by organisations, data also presents its own challenges when it comes to exploiting its full potential.

 

But most of the centralised data teams are suffering from their own success

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

 

Data Mesh, a new trend that supports you when facing the "Gold rush for Data"

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.

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