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 Discovery
Process Mining VS Process Discovery
Process MiningTraditional Process Mining (Application Log Analysis) Process DiscoveryAI-Driven Process Discovery (Extracting process footprint through user interactions with systems.)
What is Process Mining What is it? Process Mining Process mining uses event commits and application logs to decipher a business process. Process DiscoveryAI-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? Process MiningAfter 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. Process DiscoveryA 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? Process MiningLog based process mining works discreet points on the committed states of data. Process DiscoveryAI-based approach takes a more fluid and continuous approach of all ad hoc human digital interactions.
Integration Deployment Considerations Process MiningIntegration with backend transaction systems and/or data file uploads. Process DiscoveryNo integration necessary and deployment is limited to a small lightweight probe on user desktops.
Periodic analysis Business Impact Process MiningPost-facto and periodic analysis of processes and metrics leading to process transparency. Process DiscoveryDynamic and ongoing AI supervisory facilitating process conformance. A fit-bit for the enterprise.

Skan. The cognitive process discovery engine www.skan.ai

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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