Part 4/11:

• Multiple Sources of Truth: Teams often pull data directly from operational databases, creating multiple versions of the same KPI, which complicates analysis and decision-making.

• Data Discoverability: Without a centralized catalog, employees struggle to locate relevant data sources, hindering productivity and insight generation.

• Data Governance Deficits: Insufficient focus on maintaining data quality, lineage, and access controls results in unmanaged data assets. The emphasis tends to be on development speed rather than on sustainable management.

Strategizing Around Business Processes

A cornerstone of effective data engineering is to align pipeline design with business journeys. The speaker used the example of the loan process: