Modern analytics for 40,000 stores
How Northwind traded 11-hour ETL for a real-time lakehouse — and cut platform spend by nearly 40%.
Results at a glance
Where they started
- Nightly ETL took 11 hours and regularly missed SLAs.
- Six regional warehouses reported divergent numbers.
- Platform spend growing 34% year-over-year.
How we did the work
- 1
Target architecture
Databricks medallion, dbt transforms, unified semantic layer.
- 2
Metric alignment
Aligned finance, merchandising and supply chain on one metric set.
- 3
Migration
Phased cutover of 220 reports with dual-run validation.
- 4
FinOps
Introduced query governance and warehouse right-sizing.
What changed
Dashboards load in under 800ms for 40k store managers.
Platform spend down 38% in year one.
Every function trusts the same numbers.
Tools of the trade
"Dataamps replaced a decade of legacy plumbing with something our teams actually love using. The ROI showed up in the first quarter."
Bring us your hardest problem
30 minutes with our senior specialists. No decks — just a working conversation.
Ready to amplify your data?
Book a 30-minute strategy call. We'll map your data landscape and identify the three highest-leverage moves.