On June 17, 2019, Gartner published Market Guide for Process Mining defining an existing market for process mining, assessing its size, giving an overview of the leading players, describing the primary use cases, and their future directions. We highly recommend this guide to everyone interested in process mining.
If you are new to process mining, you may begin your learning path from Process Mining Manifesto, published in 2019 by IEEE Task Force on Process Mining with a goal to educate and promote this concept.
Professor Wil van der Aalst from Eindhoven University of Technology offers a free course on Coursera named Process Mining: Data Science in Action. By the time you complete the course you will become an expert in all three main types of process mining:
Based on those types, Gartner defines the primary use cases for process mining as:
- Process optimization
- Process audit and compliance
- Discovery of opportunities for automation
- Connecting strategy and operation to achieve digital transformation
- Resource optimization
In addition to covering those use cases in details, Gartner also provides brief profiles of the primary vendors of process mining solutions:
- Cognitive Technology
- Lana Labs
- Mehrwerk AG
- Process Analytics Factory
- Process Mining Groups at TUE and RWTH
- Puzzle Data
- QPR Software
- Software AG
- ABBYY TimelinePI
You can download the full report from Celonis website.