Work doesn't always go as planned. But it's difficult to find out why. Have you ever heard of Process Mining? It's the method that helps you here. With Process Mining, real work processes are compared with plans and theory. There is a lot of insight and transparency.
Reality often looks different from the ideal. This is also the case with business processes. These are in reality much more complex and structured and less clear-cut than in the documented and expected processes. Also, the way employees think the processes work and how they actually work often differ greatly. The problem is that too much information often leads to false decisions. You know the reason for many delays in train traffic, it's the so-called "delays in the operational process". The railway company asks for understanding, but the cause remains. Many small things caused by the railway company or by third parties add up. Causes include disruptions on the train or on the signaling systems as well as places where trains have to slow down due to "rail potholes". Sometimes the reason is also with others – when a wheelchair user needs time to board, passengers block the light barrier or people hang around in the track area and cause emergency braking.
Much information can also be a critical problem in organizations. For example, trains cannot start their journey on time due to operational processes. That's why it's very important to understand the difference between reality and ideal. But how does this difference come about:
1. Additional work
2. Exceptions
3. Errors.
Process Mining gives you insights into processes that you didn't have and helps you make decisions faster and more effectively. It allows you to optimize processes, save employees time and increase customer satisfaction.
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