Process mining from the inside
summary
Process mining turns event logs into an auto‑discovered process map and interactive KPIs, letting teams simulate changes and spot bottleneck shifts. Implementations use process mining, task mining, RPA and BPM plus platforms like Microsoft Power Platform, salonis or open‑source Python. Measured results include a hiring workflow made 72% faster and 30% more hires in a year without more recruiters. Concrete cases: slow contract approvals flagged, claim‑management and order‑picking optimizations, and resource‑addition simulations that reveal secondary bottlenecks.
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chapters (22)
- 0:00Process mining at T&A
- 1:50Data engineering to process mining
- 3:37Inverse Conway law and culture
- 5:01Process mining workflow
- 7:11Process graphs and insights
- 9:39Spaghetti diagrams for bottlenecks
- 11:51Simulating process changes
- 12:56Hiring process reengineering
- 14:43Self-service process analysis
- 16:12Full process visibility
- 18:00Root cause detection
- 19:26Process mining for ESG
- 20:31Starting process mining small
- 21:34Change management for process mining
- 22:16Process mining tools overview
- 23:18Mindset for process improvement
- 24:23Key takeaways
- 25:10Q&A: Real-life examples
- 28:19Q&A: Processes without digital data
- 30:27Q&A: BPM and process mining
- 31:10Q&A: Strict software data adaptation
- 32:55Q&A: Process mining vs BPM
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