Enterprise data warehouse and BI modernization
Replaced 40+ databases in two weeks and brought financial closing from a full day to 45 minutes.
97.5%
Reduction in closing time (1 day to 45 min)
95%
Shorter release cycle
33+
Self-service users
40+
Databases consolidated
The challenge
More than 40 SQL databases held revenue streams with only a monthly report refresh. There were no real-time KPIs, nothing ran on cloud, and the business had no single source of truth.
What we built
We built an Enterprise Data Warehouse on Azure using Data Factory, Qlik, and Power BI. A Data Lake replaced the 40+ databases in two weeks on our Data Fabric framework, with automated ETL pipelines, month-to-date report refresh, and Azure DevOps CI/CD.
Outcomes
- Single source of truth for revenue across all streams
- Territory coverage expanded from 25 to 30+ across 5 US regions
- Month-to-date refresh replacing monthly reporting
Start here
Every engagement starts with a no-cost scoping call.
Bring the problem, not a brief. We will tell you honestly whether it is worth building, and what it would take.