1. Prioritize Value Streams, Not Data Volume
Identify the top decision flows that impact revenue, margin, and customer retention. Build your data roadmap around these priorities first.
2. Standardize Core Metrics Across Teams
Create a shared KPI dictionary and governance process. Consistent definitions reduce friction and increase trust in analytics outputs.
3. Build For Iteration, Not Perfection
Use modular architecture and incremental delivery. Treat data strategy as a managed product with regular releases and measurable adoption.
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