Case Study · Professional Services
Enterprise Analytics Platform
Replacing spreadsheet-driven month-end reporting with a live analytics platform that consolidates data from operational systems into dashboards leadership actually uses.
PythonFastAPIPostgreSQLETL pipelinesReactAWS
01
The Business Challenge
A mid-market business ran its management reporting on spreadsheets assembled manually from several operational systems. Reports arrived weeks after the period ended, disagreed with each other, and depended on a small number of people who knew the process.
Leadership needed timely, trustworthy numbers without replacing the operational systems that generated them.
02
Existing Technology Environment
- Multiple line-of-business systems with no shared reporting layer
- Manual extract-and-merge reporting in spreadsheets
- No single definition of key business metrics
03
Our Approach
- 01Ran a discovery phase to agree metric definitions with finance and operations before building anything.
- 02Built automated data pipelines from each source system into a central warehouse.
- 03Designed role-based dashboards around the decisions each audience makes, not around the data that happened to be available.
- 04Validated every figure against the legacy reports during a parallel-run period to build trust.
04
The Solution Delivered
- A central analytics platform refreshing automatically from all operational systems.
- Role-based dashboards for leadership, finance and operations with agreed, documented metric definitions.
- Self-service reporting that removed the dependency on manual spreadsheet assembly.
05
Business Impact
- [ADD METRIC] Reporting cycle reduced from X weeks to Y
- [ADD METRIC] Automated X hours of manual reporting effort per month
- One agreed set of numbers across the leadership team
- Decisions made on current data rather than last month's
Related service:
Custom Software Development →Facing a Similar Challenge?
Tell us about your platform and we'll walk you through how we would approach it — including the questions we'd ask before writing any code.