Whilst dividing large problem spaces into smaller, more tractable components is fundamental to success, the unthinking application of “divide and conquer” approaches to data product development is creating a new generation of overlapping, redundant data silos in some organizations.
This risks creating more technical debt precisely when organizations seek the rapid rollout of digital transformation programmes and increased agility.
The remainder of this paper outlines practical steps to deploying the Data Mesh concept as an effective foundation for enterprise analytics.
