From Manual Reports to Real-Time Visibility
A 400-person department was spending over 100 hours a week building a performance report. The data was already in their systems. Nobody had connected it.
The department briefed its executive leadership team every week on more than 100 performance indicators. Every team contributed: they pulled numbers from their own systems, transcribed data, copy-pasted figures, and assembled their slice of a presentation that rolled up to department leadership. It happened every week without fail, and it was consuming team leaders and operations managers at a pace that left little room for anything else.
There was a deeper problem underneath the reporting burden. When an organization tracks 100 performance indicators simultaneously, it cannot meaningfully manage all of them. Teams could not realistically prioritize, and fewer than a quarter were hitting every indicator to standard even when they tried. The data itself was scattered across dozens of separate systems with no common structure, making real synthesis nearly impossible. The report captured information but did not produce a clear picture of what was actually happening or what needed to change.
We started with the data layer. Rather than asking teams to change how they operated, we built a centralized database that pulled information from each team's existing systems automatically. Teams got a standardized tool for managing their own data, and the department got a single compiled source that could actually be worked with.
From there, we connected that database to Power BI and built a reporting layer on top of it. We reduced the KPI set from over 100 to a prioritized set in the tens, selecting the indicators that most directly reflected actual performance and that leadership could act on. The weekly report was rebuilt around that framework: visually clean, organized, and populated automatically without anyone manually filling anything in. When leadership opened it, the data was current, pulled in real time from every team's own systems.
The department recovered more than 100 hours a week that had previously gone to building the report. Team leaders had time back. Operations managers had time back. And leadership was now looking at something that actually told them what was happening.
The performance shift followed. With prioritized, visible KPIs and clear targets, teams knew what they were working toward. The department moved from last in the region across every tracked metric to first. Enterprise executives saw the results and brought Class IX on to scale the same solution across the entire organization.
Dealing with a similar challenge?