Process Mining versus Process Discovery

Many of you who are interested in process mining and process discovery is often asking the question as to what are the differences between the mining of backend process logs and the front-end observation-based process discovery. Here goes a brief comparison of process mining versus process discovery. (We do acknowledge that there is merit in both forms and effective based on the circumstances.)

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Process Mining Process Mining VS Process Discovery Process Discovery

Traditional Process Mining (Application Log Analysis) AI-Driven Process Discovery (Extracting process footprint through user interactions with systems.)

What is Process Mining

What is it?

Process mining uses event commits and application logs to decipher a business process. AI-powered process discovery uses computer vision and machine intelligence to observe users and uncover deep process variants from digital traces of human work.

Analyze the process modelling

How does it work?

After integrating with transaction systems (or through batch files of event logs), process mining software analyzes the events to create a process model including several variants. A non-intrusive virtual process agent records human work (while providing for privacy and information security) and through decomposition of a stream of images – using computer vision, neural networks, and machine learning – create a process metamodel.

AI based approach

What’s unique?

Log based process mining works discreet points on the committed states of data. An AI-based approach takes a more fluid and continuous approach of all ad hoc human digital interactions.

Integration

Deployment Considerations

Integration with backend transaction systems and/or data file uploads. No integration necessary and deployment is limited to a small lightweight probe on user desktops.

Periodic analysis

Business Impact

Post-facto and periodic analysis of processes and metrics leading to process transparency. Dynamic and ongoing AI supervisory facilitating process conformance. A fit-bit for the enterprise.

Skan. Tognitive process discovery engine

Jen Faria LinkedIn
“One of the things you don’t ever want to do is to automate a bad process. You are just going to make bad things happen faster, and that is not what anyone wants.”
Jen Faria
Digital Enablement and Automation Services Lead, AVP FM Global
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