As you already might know, QPR ProcessAnalyzer is a process mining and intelligence 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 forecast about future or otherwise unknown events. R is a programming language for statistical computing that includes various machine learning and predictive analytics algorithms.
Application in QPR ProcessAnalyzer
Did you know that you can utilize various machine learning and predictive analytics algorithms in 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 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.
Take Control of Your Business
In addition to getting insight of 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 possibilities of QPR ProcessAnalyzer!
To learn more about machine learning and predictive analytics in QPR ProcessAnalyzer, check out our webinar below.