Many people come into process mining from a Business Intelligence background — and that’s not a bad thing. But BI and process mining answer very different questions. Business Intelligence focuses on: - Aggregated data - KPIs and averages - “What happened last month?” - Reporting and monitoring In BI, a statement like: "Average cycle time = 12 days" is usually considered enough. Process Mining focuses on: - Event-level data - End-to-end flows - Variants and deviations - “Why does the process behave this way?” In Celonis, that same statement becomes: Here are 27 different paths — and 40% of cases loop because of rework. That difference is critical. BI tells you what happened.Process mining shows you how it actually happened — case by case. This is also why many first Celonis projects struggle: - Dashboards look good - KPIs are green - But no one knows what to change Real value starts when you move from: 📊 reporting KPIs➡️ 🔍 understanding process behavior➡️ 🎯 deciding where to act 💬 Let’s discuss If you’ve worked with BI before: - What was hardest for you when switching to process mining? - What confused you most in your first Celonis project? Reply below — your answers will help shape future content in the community.