Process Mining – From Insights to Action

Recent developments in Information and Communication Technology allow us to track the actions performed during the execution of virtually any process deployed within a company. The resulting complex data sets carry valuable information regarding the actual execution of the process. The field of process mining is concerned with the development of fully- and semi-automated techniques that allow us to extract the intrinsically valuable information carried within the process execution data. For example, process mining techniques allow us to obtain a holistic overview of the process, purely based on the actual execution of the process, as captured in the data.

There has been an increasing awareness of the huge potential that process mining provides for businesses, as witnessed by several success stories as published by the IEEE CIS Task Force on Process Mining. As a result, several software development companies have developed solutions that support and/or integrate process mining oriented analyses. Moreover, some software vendors provide dedicated process mining solutions. However, integration of state-of-the-art techniques, originating directly from process mining research, are often missing.

The Process Mining group of Fraunhofer FIT therefore aims to bridge the aforementioned gap by enhancing industry adoption of state-of-the-art process and data science research.

We have strategic partnerships and / or alliances with several different (scientific) institutes that strengthen our overall impact in the domain of process mining:

We deliver

 

Research

Development of advanced process mining applications that allow us to more adequately solve complex, process oriented, business questions.

 

Industry Collaboration

Development of industry / company specific process mining solutions tackling specific challenges of industrial partners.

 

Knowledge Transfer

Provision of advanced training of industry professionals targeting the use of advanced process and data science technology.

 

Academic Service

Provision of lectures at university regarding the fundamentals of process mining and development of several open source process mining initiatives.

Projects