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Process mining series

Process mining, explained from the ground up

A thirty-article series on process mining: what it is, how discovery and conformance actually work, and how object-centric event data changes the answers.

Process Mining 101

Start here. Six articles that define the field in plain language — event logs, process maps, conformance, and what to do with a finding once you have one.

6 of 6 published

  1. A1Process Mining 101: What It Is (and Is Not)Process mining turns event logs into fact-based process maps. Learn what it is, what it is not, and how it differs from BI dashboards and process workshops.7 min read
  2. A2The Three Questions: Discover, Check, EnhanceDiscover, check, enhance: the three process mining questions that turn event logs into maps, conformance insights, and improvement priorities.7 min read
  3. A3Event Logs in Plain EnglishEvent logs power process mining: case ID, activity, and timestamp explained in plain English, plus optional attributes and data-quality pitfalls.8 min read
  4. A4Reading a Process Map Without DrowningLearn to read process mining maps and DFGs: nodes, edges, variants, and filters so dense diagrams become clear decisions, not overwhelm.8 min read
  5. A5Conformance Checking Without the JargonConformance checking compares event logs to process models to find skips, inserts, and order violations, explained in plain language without jargon.8 min read
  6. A6From Insight to Action in Process MiningTurn process mining insights into action: prioritize bottlenecks, design experiments, assign owners, and re-measure so maps become measurable change.8 min read

The Handbook, chapter by chapter

Seventeen deep dives following the open-access Process Mining Handbook: discovery algorithms, alignments, event knowledge graphs, prediction, streaming, and the domain chapters.

0 of 17 published

  1. B1Process Mining 360 Overview: The Field in One MapA practitioner map of process mining: discovery, conformance, and enhancement, plus event data, models, and where the field fits next to BPM and BI.Coming soon
  2. B2Foundations of Process Discovery: How It Actually WorksHow process discovery turns event logs into models: directly-follows relations, quality criteria, Alpha-style ideas, and inductive mining foundations.Coming soon
  3. B3Advanced Process Discovery: Beyond the BasicsGo beyond basic miners: handling noise, incompleteness, hybrid discovery, quality trade-offs, and when advanced process discovery techniques pay off.Coming soon
  4. B4Declarative Processes: Rules Instead of FlowsLearn declarative process specifications: constraint-based models, discovery and monitoring of rules, and when rules beat flowcharts in process mining.Coming soon
  5. B5Conformance Checking Deep Dive: Alignments and DiagnosticsDeep dive into conformance checking: fitness and precision, token replay vs alignments, deviation diagnostics, and how to use results without overclaiming.Coming soon
  6. B6Event Data Foundations for Process MiningFoundations of process event data: cases, events, attributes, XES concepts, data quality issues, and how event logs enable trustworthy process mining.Coming soon
  7. B7Event Log Engineering: Getting Logs Out of Real SystemsPractitioner guide to process mining adoption and event log engineering: extraction patterns, correlation, stakeholders, and data challenges in real systems.Coming soon
  8. B8Process Enhancement: Time, Resources, and CostsFoundations of process enhancement in process mining: enrich models with time, resource, and cost perspectives to find bottlenecks and improvement levers.Coming soon
  9. B9Multiple Dimensions with Event Knowledge GraphsEvent knowledge graphs model multi-object process data beyond flat event logs—learn entities, relations, and discovery patterns for complex cases.Coming soon
  10. B10Predictive Process Monitoring ExplainedPredictive process monitoring forecasts next activities, outcomes, and remaining time from running cases—learn methods, features, and pitfalls.Coming soon
  11. B11Streaming Process MiningStreaming process mining analyzes events as they arrive—learn online discovery, drift detection, windows, and architecture patterns for live processes.Coming soon
  12. B12Responsible Process MiningResponsible process mining covers privacy, fairness, transparency, and governance—learn risks, safeguards, and ethical practice without compliance theater.Coming soon
  13. B13Status and Future: From Discovery to ExecutionProcess mining is shifting from discovery projects to execution—learn maturity stages, operating models, and where the field is heading next.Coming soon
  14. B14Process Mining in HealthcareProcess mining in healthcare maps care pathways from event data—learn use cases, data challenges, privacy cautions, and educational best practices.Coming soon
  15. B15Process Mining for Financial AuditingProcess mining supports financial auditing with population-level process evidence—learn controls testing ideas, limits, and educational caveats.Coming soon
  16. B16Robotic Process Mining and RPARobotic process mining finds automation candidates from UI and system events—learn how it relates to RPA, discovery steps, and selection pitfalls.Coming soon
  17. B17Scaling Process Mining Insights into ActionsTurn process mining insights into repeatable action—operating models, prioritization, intervention design, and verification loops that scale.Coming soon

Object-centric extensions

Seven articles on where the field is going: OCEL, the move off flat logs, translating source systems into event data, privacy, tooling, and how to scope a project.

0 of 7 published

  1. C1Object-Centric Process Mining (OCPM) 101Object-centric process mining lets events link to many object types—orders, items, invoices—so you analyze real ERP processes without flattening away truth.Coming soon
  2. C2From XES to OCEL: Why Object Graphs MatterXES models one case per event; OCEL keeps multi-object graphs. Learn deficiency, convergence, divergence, and when to move beyond flat logs.Coming soon
  3. C3Translating Source Systems into Event DataTurn ERP, CRM, and ticket data into process mining event logs: map activities, correlate cases or objects, and document lineage without guesswork.Coming soon
  4. C4Process Mining vs Execution Management MarketingLearn how process mining differs from execution-management marketing: compare capabilities fairly without vendor-bashing or unverifiable claims.Coming soon
  5. C5Privacy-Preserving and Local-First Process AnalysisProtect event-log privacy with minimization, access control, and local-first analysis patterns—without shipping sensitive process data by default.Coming soon
  6. C6Process Mining Tooling LandscapeMap process mining tooling categories—from academic ProM to commercial suites and libraries—without fake rankings, so you can choose fit-for-purpose.Coming soon
  7. C7Buying and Scoping a Process Mining ProjectScope process mining with clear decisions, data paths, and RFP questions—success metrics and privacy asks included, without fake analyst quotes.Coming soon

Attribution

Educational synthesis inspired by the open-access Process Mining Handbook (van der Aalst and Carmona, eds., 2022). These articles are not a substitute for the handbook, and they are not legal, audit or vendor advice. Each article names the chapter it follows; articles marked as extensions follow no single chapter.