Operational efficiency most often “slips away” quietly: queues grow, exceptions increase, and rework begins to eat up the team’s time. In such conditions, Power BI should not be just a tool for monthly reporting, but an operations control center—a place where you can see deviations, their causes, and priorities for today and the coming days. The key change is that the report should not only answer the question “how much have we done,” but also show “where the process is slowing down, why, and what needs to be changed.” A well-implemented data analysis system, such as Microsoft Power BI, allows you to translate the discussion about “feelings” into data: stage times, exceptions, process stability, team workload, and the risk of SLA violations. What’s more, when data is fed in regularly, the operational dashboard becomes a tool for everyday work: for change leaders, coordinators, operations managers, and those responsible for process improvement. And that means a real impact on unit costs, quality, and predictability of delivery. Let’s take a closer look at this topic.