From 7 Fragmented Data Sources to One Customer Identity Model
Problem. Seven disconnected Data Sources, no single customer identity, no traceability. Every business question turned into a reconciliation exercise before it could become a decision.
Action. Designed a Single Source of Truth with one customer identity model and explicit data stewardship. Ran the stack decision myself: evaluated AWS S3 + Athena against Redshift and BigQuery on three criteria — total cost at our data volume, existing team skillset, and time to first useful query. Chose S3 + Athena; the cost profile and the zero-ramp for the team beat the query performance advantage of the alternatives at our scale. Built the analytics layer on Power BI + Microsoft Fabric.
Result. An LLM-driven BI product adopted by 10 enterprise operators at daily and weekly cadence — the measure that mattered was recurring use, not dashboards delivered.

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From 7 Fragmented Data Sources to One Customer Identity Model Problem. Seven disconnected Data Sources, no single customer identity, no traceability. Every ...