Process Mining and Business Intelligence.
What's the difference?
- Process Mining to determine what data the BI needs to then report on KPIs &Trends.
- BI to report which KPIs and Trends are not performing.
- Process mining to report why, who and how the KPI or Trend is not performing.
Essentially BI reports on specific operational performance measurements, usually in the form of KPIs with drill down to the specific underlying data. It informs decision makers on predefined parameters and assumed process execution to assess the performance in specific functional areas but, they do not give insights as to what the cause for any changes are. Usually when a KPI is out of limits or there is an out of limits trend, decision makers instigate an investigation. This can be a lengthy and resource intensive activity which does not always extract factual data let alone the context for which the data pertains.
Process mining extracts the actual process context, volumes, lead & lag times, durations, resources and all the other critical information that resulted in the data used for the BI KPIs. Many organisations find themselves setting KPIs without first understanding the actual operational performance, whether the performance is already optimised or if there is scope for increased performance. Enlightened organisations are using Process Mining to help determine the PPIs (Process Performance Indicators) both leading and lagging. The PPIs are then used to determine a set of data with which to execute BI for reporting on realistic, meaningful KPIs with associated SMART goals and objectives.
Process Mining is another essential tool in the suite for BI & MI professionals.
