Enterprise data warehouse and BI modernization
Replaced 40+ databases in two weeks and brought financial closing from a full day to 45 minutes.
0.0%
Reduction in closing time
01Challenge
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.
02Solution
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.
03Stack
- Azure Data Factory
- Qlik
- Power BI
- Azure DevOps
- Data Fabric
04Outcomes
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
05Results
MEASURED IN PRODUCTION- Reduction in closing time (1 day to 45 min)
- 0.0%
- Shorter release cycle
- 0%
- Self-service users
- 0+
- Databases consolidated
- 0+
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