In Process Mining projects, we make a lot of analysis based on the transaction-level data. Some of the typical analysis include longer than expected lead times, skipping of required activities, as well as large amount of extra activities & rework. While it is great to make these discoveries, the operational business people typically need to drill down to a more detailed information about the root causes in order to start corrective actions for process optimization.
Influence analysis can use data mining methodologies directly integrated with the process mining discovery tool in order to find Root Causes for relative problems. QPR Process Analyzer will run through the whole dataset and find out how the selected group of cases is different from the other cases. These results point out the most important causes for the original discovery. Many organizations are nowadays using QPR Process Analyzer Influence Analysis as a regular part of their process optimization cycle. Typically, on a monthly basis the root causes for identified problems are re-evaluated and performance data is used by operative business people to monitor and manage their business improvement activities. These business review root cause analysis results can be also shown in benchmark format pointing out the worst-performing segments as well as the best-performing segments.
In addition to the interactive Influence Analysis tool, business users can monitor the business processes through Dashboards, which include certain KPIs (i.e. Time to Deliver or Time to Cash) by Time, Geography, Organizational Structure etc.
With Process Mining, we can support you to improve your business process, using Data Mining techniques to discover actual process problems and Influence Analysis to find out the root causes for problems.
Indicative Knowledge areas and Performance Management Solutions, developed: