Data-driven process intelligence is a way to build a connection between process mining, analytics, and performance management. The idea is to turn data into real business process intelligence and measurement.
It brings in the continuous performance measurement and reporting from the process point of view.
It comes with the ability to drill down into an individual case level, instead of representing the performance only from the organizational or functional point of view on a summary level. Existing KPI reporting and business intelligence solutions lack this ability.
The main difference between process intelligence and traditional business intelligence lies in providing business with data-driven process insights and identify the root causes of why something has happened.
Did you know you can use process mining to identify relevant process KPIs and measure them transparently for improvement? QPR's process mining software enables this comprehensive process insight by utilizing event data in IT systems.
With QPR ProcessAnalyzer, you can create visually attractive dashboards of process KPIs and make them visible throughout the organization. Process KPIs are wired down to case level of process execution by automatically generating a graphical representation of actual business processes as they have been executed in reality.
Dynamic reports of root causes and effects provide full visibility to reasons behind, for example, process bottlenecks, long lead times, and poor delivery accuracy.
With QPR's business process intelligence and measurement solution, your organization can see in detail what affects the execution of processes and what you need to do to improve the processes.
Highlights of the interview with Lambros Bessas where he shares with us the reasons why Piraeus Bank embarked on the process mining journey.