Days 1–30: decisions and sources
Identify several important decisions, required measures and source systems. Record owners, access constraints and critical gaps.
The result is a value map rather than a catalogue of every field.
Days 31–70: one end-to-end product
Clean, reconcile and publish one dataset for a defined user group.
- Metric definitions
- Quality checks
- Regular refresh
- Data product owner
Days 71–100: scaling rules
Measure use and impact, then document reusable access, control and integration patterns. Select the next domain by value and readiness.
The strategy becomes a sequence of outcomes and builds an AI foundation.