Process mining is a method of analyzing big data in a structured way. Because people and software robots work with IT systems in companies, these activities are therefore recorded by those systems. Process mining converts this data into an event log and then creates visualizations of the end-to-end process along with insightful analytics. This is how it works:
What is the process that people follow?
Process Discovery shows you what’s happening so you can identify opportunities for process optimization. Not only do Process Discovery tools recognize business processes, but they also help you design automation workflows, making the mapping, planning, and implementation of automation quicker and more efficient.
Do people really follow the expected process?
Conformance checking is vital to highlight process variations and identify the root causes of the deviations. By eliminating nonconformant cases, businesses can create more standardized and simplified processes. To improve your processes, people have to follow the most optimal designed process.
Is there any bottleneck in my process?
Determine the root cause of the problem. Process Analytics provides insights that allow you to see the meaning behind the process so you can capture every opportunity for improvement. Drill down deep with dashboards that highlight reasons behind process variations and help you solve issues before they even appear.
What impact do changes in in my process have?
Monitor the new changes of implementations and your rework. Are there any differences? Are you getting the performance lift you expected? Advanced process mining solutions will continuously monitor and measure the results, so you’ll be the first to know if you’re on track or off base. Plus, you get a full audit trail for compliance purposes.
What should I Optimize?
Design automated flows based on your event logs, which enables standardized tasks among other things, to increase work efficiency. On top of that, predictive models can be built to provide further insights by analyzing historical data and enable you to act proactively on decision making. Think of: mitigating risk, predicting costs, and generating process recommendations.