Machine Learning Process Mining with QPR ProcessAnalyzer | QPR

QPR Blog

You are here

6 June 2017

Machine Learning Process Mining with QPR ProcessAnalyzer

Are you looking for a process mining tool that has machine learning and predictive analytics capabilities? 

You are in the right place! QPR ProcessAnalyzer is a machine learning process mining tool that stores and analyzes your business process data. It visualizes your business processes as they are in your systems. Hunting down every process variation is only a few mouse clicks away. Getting to see and understand your real business processes has never been this easy.

QPR ProcessAnalyzer’s visual process models let you adopt a huge amount of business-relevant data quickly e.g. end-to-end durations, sub-durations, all process variations, case attribute distributions, influence analysis data, process KPIs, to name a few.

Having visualized your as-is process, designed your to-be process, and benchmarked the processes, your logical next step is to become proactive and use your cumulated process data for further process intelligence - to predict future outcomes of your business processes.


Machine Learning and Predictive Analytics

Machine learning algorithms learn from and make predictions on data. Predictive analytics is a branch of machine learning that analyzes current and historical facts to make a forecast about future or otherwise unknown events. R is a programming language for statistical computing that includes various machine learning and predictive analytics algorithms.


Machine Learning Process Mining with QPR ProcessAnalyzer

Did you know that you can utilize various machine learning and predictive analytics algorithms in QPR's process mining tool, QPR ProcessAnalyzer? SQL Server R Services are available in QPR ProcessAnalyzer scripting environment. There is no need for any 3rd party applications, as all the scripting can be done in the QPR ProcessAnalyzer environment. You can use QPR ProcessAnalyzer commands and SQL queries to extract data from process models and use R language to build machine learning algorithms to predict future outcomes, e.g. durations or process KPI outcomes of the cases.


Combine Machine Learning & Process Mining & Take Control of Your Business

In addition to getting the insight into your as-is business process state, you are now able to foresee the future outcomes using QPR ProcessAnalyzer and SQL Server R Services. It is possible to recognize potentially problematic cases in advance and react to them before they become a problem. The business benefits are money savings, happier customers and more predictable business. Be ahead of your competitors and utilize the machine learning process mining possibilities of QPR ProcessAnalyzer!


To learn more about machine learning and predictive analytics in QPR ProcessAnalyzer, check out our webinar below.

Watch On-Demand

Jaakko Niemi's picture
Jaakko Niemi
Process Intelligence Consultant