Process Mining

Definition

Process mining is designed to discover, monitor and improve real processes (for example, not assumed processes) by extracting knowledge from event logs readily available in today’s information systems. Process mining includes automated process discovery (for example, extracting process models from an event log); conformance checking (for example, monitoring deviations by comparing model and log); social network/organizational mining; automated construction of simulation models; model extension; model repair; case prediction; and history-based recommendations.

Process mining offers objective, fact-based insights, derived from actual event logs, that help you audit, analyze, and improve your existing business processes by answering both compliance-related and performance-related questions.

Where can process mining help?

In our modern digital economy, companies require flexible processes to be competitive. That flexibility only comes through a deep understanding of how things are working and where shifts are possible.

  • Which vendor gives you the best chance of meeting a committed delivery date?
  • Which employees are not following the process?
  • Which of your channel partners are downselling rather than upselling?

Process mining provides answers to these questions and more.

In addition, process mining allows you to quickly audit your processes, and many companies are using process mining for ongoing monitoring and optimization. That way they can detect potential problems before they have a negative impact, ensuring business operations are cost effective, compliant and several steps ahead of the competition.

Process Mining technology can show exactly where there are opportunities to correct or improve processes. By performing root cause analysis on operational system data, it also indicates why things may have deviated from a standard process.

The below short video by celonis might help you get a deeper understanding about process mining.

RPA with process mining is a great combination:

Process mining depicts a visually appealing and a data-based view of process performance that shall attract the interest of senior executives in an organization, enabling them to identify where problems and opportunities lie. This will reinforce an organization’s dedication to data-driven decision making. Some vendors have already identified the key steps in using process mining for greater success in implementing RPA. We expect many solutions in the future that involve combinations of process mining, RPA, and machine learning.

What are its benefits?

Benefits include:

  • Faster, more effective and more efficient processes thanks to process optimization
  • Comformance checking improves compliance
  • Helps in process discovery, thus enables faster automation of processes

Process Mining Softwares

Below are some of the leading process mining softwares in terms of popularity and usage:

  • Celonis - process mining solution offered by Celonis
  • Minit - is a process mining software offered by Minit
  • ARIS Process Mining - a Process Mining and Process Intelligence Tool offered by Software AG as part of the Digital Business Platform Solution.
  • Kofax Insight - process mining software by Kofax
  • UiPath Process Gold - Enterprise Platform, an integration of Process Mining & Business Intelligence.
  • QPR ProcessAnalyzer - process mining software for Automated Business Process Discovery (ABPD).
  • myInvenio - cloud and on-premises solution by Cognitive Technology Ltd.
  • Signavio Process Intelligence - process mining software by Signavio
  • Disco - process mining software by Fluxicon
  • LANA Process Mining - is a process mining tool featuring discovery and conformance checking by Lana Labs.

See Also