7h • General discussion
BI vs Process Mining (and why this matters for Celonis)
A lot of people say, “We already have Power BI, why do we need Process Mining?”
The most common questions I get every week, BUT Power BI tells you what happened, while Process Mining tells you how it happened and why.
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 for me.
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 behaviour -> 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.
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BI vs Process Mining (and why this matters for Celonis)
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