Only a few years ago, pen and paper were enough to map processes and trying to find areas for improvement. Once a report was done, the situation might have changed completely and the report was left obsolete.
Instead of using pen and paper, process mining technology uses Artificial Intelligence and Machine Learning to automatically extract, visualize, and make sense of operational data from organizations' IT systems. Process mining software like QPR ProcessAnalyzer help you understand this dynamic visualization (or "digital twin") of your organization and make interesting findings: where costs can be saved, processes can be simplified, automation needs to be improved most, etc.
Not only can you find root causes for your problems, but also predict problems and get automatic alerts when problems are about to arise - so you can proactively take action.
This blog opens up how Artificial Intelligence and Machine Learning are used in process mining: cluster cases, predict problems, and more.