From days of manual work to automated, on-time reporting
Reports were assembled by hand from several systems, so they were slow, error-prone, and often late. We brought the data together, built a reporting layer on top, and automated delivery.
- faster reporting timelines
- 95%faster reporting timelines
- fewer errors in reports
- ~80%fewer errors in reports
- every reporting cycle
- On timeevery reporting cycle
The challenge
Every reporting cycle started the same way. Analysts extracted data from several separate systems, cleaned it by hand, combined it in spreadsheets, and only then began the analysis. Each step relied on someone repeating exactly what was done last time.
The cost added up. Producing a report took significant time, small errors crept in at every hand-off, and final reports were often delayed. Decisions were either made on outdated numbers or put on hold while the latest figures were assembled.
Before and after
Before
- Data extracted by hand from multiple systems each cycle
- Cleaning and combining done manually in spreadsheets
- Errors introduced at every hand-off, then found late
- Reports regularly delivered after the deadline
After
- Sources brought together in one consistent data layer
- Cleaning rules applied the same way, every time
- Reports refresh and distribute on schedule
- Analysts spend their time interpreting results, not assembling them
Our approach
- 01
Map the end-to-end process
We reviewed the full reporting workflow, from the first data extract to the final report, to see where time was lost and where errors were introduced.
- 02
Bring the sources together
We designed a single, consistent view across the source systems, so every report draws on the same trusted data.
- 03
Build the reporting layer
On that foundation we built reporting around the questions decision-makers need answered, not around how the data happened to be stored.
- 04
Automate refresh and delivery
We automated how reports are refreshed and distributed, so they arrive on schedule without manual effort.
The outcome
Reporting timelines fell by 95% and errors dropped by about 80%. Reports now arrive on time, every cycle.
The team's time has shifted too. Instead of assembling numbers, analysts now spend their effort interpreting results and advising on what to do next.
