The Root Cause Analyzer by Mavim Process Mining helps you identify the most likely causes of behaviors; patterns or problems in your process. With the Root Cause Analyzer you can investigate the drivers of positive process behavior or find the causes of problems and bottlenecks in your process. With these analysis results; informed business decisions can be better made.
Functionalities
The Root Cause Analyzer helps you identify the most likely causes of behaviors; patterns or problems in your process. With the Root Cause Analyzer you can investigate the drivers of positive process behavior or find the causes of problems and bottlenecks in your process. With these analysis results; informed business decisions can be better made.
Interpretation
The Root Cause Analyzer calculates an average value based on coverage and precision. The higher both values are close to 100; the higher the influence of the current combination on the analysis; e.g. the occurrence of a certain activity.
By default; the values with the highest average value are displayed at the top; but the sorting can be changed by clicking on the header cells.
By changing the threshold values; certain combinations can be hidden whose influence is too low or too high; i.e. which do not have a direct meaningful influence.
Selection
By clicking on a line with the Shift key held down; it can be selected and the rest of the report filtered to that find. This allows further information on these influencing factors to be analyzed afterwards.
Details
When clicking the small +-icon on the beginning of each row you will see all the details of the result set.
Invert Selection
By clicking on the invert bottom in the left-hand corner of the table; you can change to the negative. Now all values are displayed that have a negative effect on the current analysis.
Build Visual
- Count : The field corresponding to the required level of granularity (Case; Event; Edge Levels) should be dragged into the Count bucket and set to Count in the drop down menu (e.g. case_id from the Cases table to explain case attributes; or case_id from the Event Log table to explain event attributes).
- Explain By : Relevant attributes that the Root Cause Analyzer should consider when analyzing root causes. Ideally; you should include attributes that are categorical in nature; such as User; Start Activity; Material No.; Vendor; etc.; but avoid those that are continuous; such as Duration; Cost; Quantity; etc.
Settings
You can adjust the general behavior in the Root Cause Analyzer settings submenu.
Root Cause Analyzer settings
You can adjust the general behavior in the Root Cause Analyzer settings submenu.
Color settings
You can adjust the colors of the visual in the Color settings submenu.
Table settings
You can adjust the table UI in the Table settings submenu.