Process intelligence through Process mining
summary
Shows a live Minit demo loading a semi‑synthetic event log, discovers many unexpected process variants (one variant covers just over half while dozens of exceptions exist), and computes cycle‑time, waiting‑time and resource metrics. Builds dashboards that classify service journeys into automation prioritization / digitalization / rationalization buckets, produces an improvement roadmap and a monitoring setup, and reports that the data‑driven recommendations are actionable but dependent on log quality and stakeholder readiness.
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chapters (24)
- 0:00Introduction
- 0:23Agenda
- 0:55How to understand
- 2:16Process mining
- 4:14Problem framing
- 5:28Goals questions and measures
- 8:00Process selection
- 9:56Data collection
- 10:58Loading data
- 11:20Result interpretation and validation
- 12:05Business impact
- 13:22Process mining steps
- 14:51Event log example
- 17:18Process map
- 18:59Typical process performance measures
- 20:13Process performance measures
- 22:35Transparency
- 24:15Compliance
- 25:08Efficiency
- 25:51Service Journeys
- 28:08Challenges in Process Management
- 31:57Datadriven experiment
- 33:56Microsoft Minute demo
- 42:59Possible outcomes
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