23d • General discussion
BI vs Process Mining (and why this matters in Celonis)
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.
0
0 comments
BI vs Process Mining (and why this matters in Celonis)
powered by
skool.com/process-mining-academy-2377
Pragmatic, hands-on process mining with Celonis. Learn using real event logs and business use cases—no theory, just practical skills and results.
Suggested communities
Powered by