cs with recent big data tech and cloud, organizations still rely on a central team of data technology experts to make data usable.
Acquiring domain knowledge and data assets at an organizational scale remains a challenge for the central data team in large organizations. It results in:
a) Low utilization of data across domains
b) Increased lead time for critical consumers
C) Rigid processes around change and lifecycle management

These factors together tend to slow the overall data-driven innovation chain.

We will explore how paradigms like data mesh address these challenges and push for decentralized autonomy and data ownership while maintaining interoperability across an organization.