Fraunhofer Institute for Applied Information Technology FIT
Fraunhofer Institute for Applied Information Technology FIT

Collaboration

Advanced Process Mining – Technology Development and Analytics

There has been an increasing awareness of the huge potential that process and data science 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 from process mining research, are often missing.

The main aim of the Process Mining group is to bridge the aforementioned gap by enhancing industry adoption of state-of-the-art process mining research. We enable process improvement by means of tight integration of innovative research solutions within a company’s data science pipeline. As such, we offer the following solutions to industrial partners:

  • The development of advanced process mining applications, solving complex and process oriented business questions.
  • The development of industry / company specific process and data science solutions tackling specific data-driven process oriented challenges.
  • The execution of consultancy projects, e.g. advanced data analysis, solving complex process oriented driven business questions

Contact: sebastiaan.van.zelst@fit.fraunhofer.de

Knowledge Transfer

Within our group we aim to transfer our detailed in-depth knowledge of process and data science to industry partners, by means of several training programs. We offers the following process and data science training programs:

Fundamentals of Process Mining

In this training, tailored to industry professionals, we discuss the basics of applying process mining in practice. We discuss the main conceptual idea behind process mining and introduce the basic key components of process mining, and process mining oriented projects. The training comprises of:

  • A general introduction to process mining, covering:
    • Process Discovery
    • Conformance Checking
    • Process Enhancement
  • Introduction to process mining tools, covering:
    • Open source tools such as ProM, RapidProM, pm4py, …
    • Commercial tools such as Disco, Celonis, Minit, etc.
  • Introduction to the basics of setting up a process mining project, covering:
    • Data Characteristics & Preparation
    • Process Aware Visualization (Dotted Charts)
    • Process Discovery
    • Visualization of case flow

Advanced Process Mining

In this training, tailored to industry professionals, we discuss more advanced topics of the application of process mining in practice. We assume the participants to be reasonably familiar with process mining (for example by completing the Fundamentals of Process Mining course). The training comprises:

  • Mastering techniques beyond process discovery:
    • (Data Aware) Conformance Checking
    • Bottleneck Analysis
    • Root-Cause Analysis
    • Bring your own Data sessions
    • Introduction to process mining algorithm development