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Case study · CPG

Modern Data Warehouse on Lakehouse

5 months·CPG enterprise·Data & AI

Medallion architecture with streaming ingestion and governed semantic models.

Key results

  • Report latency from days to hours
  • Promo ROI +8%
  • Data engineering costs -26%

Context

A mid-sized CPG enterprise ran its analytics stack on a legacy data warehouse with batch-only ingestion that produced business reports two days after the underlying events. Marketing could not run promotion analysis within the promotion window; supply-chain teams could not react to demand signals; finance was closing books using stale numbers.

Challenge

Report latency was the visible issue; the deeper problem was the two-tier architecture (lake plus warehouse) requiring constant data movement between tiers. Every new analytics workload created a new movement job, a new schema, and a new governance gap.

Approach

Thoughtwave delivered a lakehouse modernization using medallion architecture (bronze-silver-gold) on the client's cloud of choice, streaming ingestion replacing the batch extract, and a governed semantic layer so metrics agreed across every downstream consumer. The engagement ran 5 months across discovery, architecture, migration, and BI cutover.

Outcomes

Reports now refresh within hours rather than days; promotion-ROI analysis runs in-window; data engineering costs dropped 26% because the single lakehouse replaced the movement-job sprawl. Subsequent business domains are migrating onto the same platform at a fraction of the first-domain cost.

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