Issue
The client is an electric services company running its business reporting on an aging data model.
Hundreds if not thousands of reports had accumulated under an outdated data model that no longer met the business's needs:
- Many reports were outright duplicates or no longer used, with little to no documentation.
- Report users were too busy to untangle the framework themselves and needed help revising it.
- The sprawl obscured reliable information, slowing analysis and day-to-day decisions.
Solution
Our consultant paired data-model expertise with a report-by-report review to rationalize the library:
- Consolidated overlapping reports and eliminated duplicates and unused ones.
- Rebuilt the remaining reports against the current data model into a leaner, documented set.
Result
Business users moved from hundreds of overlapping, undocumented reports to a leaner, more usable set - making information easier to act on and improving analysis and day-to-day decisions.
“You guys have done a great job and EXCEEDED expectations!”
IT Director
Electric Services Company
Key Takeaways
- Report sprawl is a symptom of an aging data model, not simply too many reports. Rationalizing against the model itself — rather than trimming the report list — is what keeps the clutter from returning and what a report library actually needs to stay usable.
- The measure of good reporting isn't fewer reports; it's fewer decisions delayed. Consolidating to a lean, documented set turns reporting from a standing IT backlog into a decision-making asset — a move any utility running an outdated data model can repeat.
Ready to do the same?
Struggling with a sprawling library of legacy reports your teams no longer trust? MidDel's data-model-led report rationalization can help you cut the clutter and rebuild reporting your business will actually use. Let's talk.
