Science & Technology / AI & Computing / Big Data & Algorithms

Your Workflow Is a Lie: The Hidden Reality of Process Mining

Process Mining Handbook

Wil van der Aalst, Josep Carmona

Slide 1: Your employee handbook is a work of total fiction. Management loves presenting neat, elegant flowcharts showing straight-line progress from Step A to Step B. But reality is a chaotic spaghetti diagram of broken steps, endless email chains, and localized workarounds. Standard dashboards sanitize the mess to make executives feel comfortable. Meanwhile, hidden operational debt silently bleeds your margins. Slide 2: Digital fingerprints never lie. Surveys lie. Performance reviews lie. Timestamps do not. By capturing just three fundamental data points from enterprise event logs—Case ID, Activity, and Timestamp—we reconstruct the raw, unfiltered DNA of how operations actually run down to the millisecond. No clipboards or stopwatches required. Slide 3: The dangerous 5% exception trap. Most executives design systems around the 80% happy path and shove bizarre outliers into a digital closet. That is a fatal mistake. The weird 5% of edge cases consumes up to 95% of human time, manual fixes, and operational resources. Ignoring these messy exceptions guarantees quiet margin collapse. Slide 4: Automating broken processes just accelerates disaster. Rushing into Robotic Process Automation (RPA) without mapping reality first is like strapping a rocket engine to a broken, rusty bicycle. A confused worker might ruin one transaction; an automated bot executing flawed rules will ruin 10,000 transactions in three seconds. Discover the true routine before automating the mess. Slide 5: Building the living digital twin. Modern process mining transforms historical audit logs into predictive weapons and operational digital twins. By continuously monitoring streaming data, organizations can simulate restructuring, eliminate bottlenecks in real time, and fix failures before they happen. About the Authors and Book: This presentation explores the core methodologies found in the "Process Mining Handbook", co-edited by Wil van der Aalst and Josep Carmona. Wil van der Aalst, widely recognized as the Godfather of Process Mining, is a Professor of Computer Science at RWTH Aachen University and Chief Scientist at Celonis. Josep Carmona is a Professor at the Universitat Politècnica de Catalunya specializing in concurrency, formal methods, and data-driven process intelligence. Their authoritative handbook establishes the mathematical foundations and enterprise blueprints required to bridge data science and business operations.