Knowing something’s wrong with your business processes isn’t the same as knowing what’s wrong, and how to fix it.
The relationship between people, workflows and the business applications you already use is a dynamic landscape. And in complex systems, locating the causes of process bottlenecks and breakdowns is often more a matter of luck than skill.
Your business applications generate large quantities of time and event data about your business processes. The record of actions people take while using such applications, and even the automated steps in your current systems, can produce potentially valuable insights when combined and viewed as a whole.
But trying to discover, monitor and improve processes in a variety of application domains takes more than a clipboard and stopwatch. With business conditions constantly changing, you need a tool that can quickly adapt and comprehensively extract useful knowledge about the history—and future potential—of all your processes.
Perceptive Process Mining goes far beyond traditional process analysis methods like interviews, lead time measurement and performance analysis outside the context of the process or organization.
It examines event data and applies process pattern recognition techniques. Then, it creates process models in a fraction of the time and cost of traditional methods. By helping you view the interaction between the parts of your organization as a whole, Process Mining helps you:
The real impact of process mining is all about people. Continuous process improvement leads to more satisfied customers, providing a competitive advantage for your company. And by challenging assumptions about how employees work together, it can point the way to more effectively deploying your most valuable asset.
Ultimately, process mining can turn process improvement from an occasional, resource-intensive, disruptive effort into routine upkeep of your daily operation.