“Create an enterprise data platform with finance, operations and HR systems, data integration, an enterprise lakehouse, data governance, business intelligence, and data science.”
Read the decisions behind it.
Include finance, operations and HR systems.
Centralize curated information in a lakehouse.
Make data stewardship visible alongside storage.
Serve both BI and data-science work.
Use it for enterprise data strategy and platform discovery.
Other examples in this family.
Common questions
What is an enterprise data platform?
It is the shared set of data services that collect, govern and serve information across business domains.
Why show governance separately?
It makes accountability and controls visible rather than treating them as an implied storage feature.
Who uses a lakehouse?
Business-intelligence users, analysts, engineers and data scientists can consume governed data from it.