Automation

Process Mining

Process mining is a data-driven analysis method that reconstructs and visualizes actual business process flows from event logs in your IT systems (ERP, CRM, ticketing). Instead of relying on subjective assessments, process mining objectively shows how processes truly run — including loops, bottlenecks, and deviations.

Why does this matter?

Most mid-sized companies know their target processes but not the actual reality. Process mining reveals where orders get stuck, which steps are skipped, and where unnecessary loops occur. Only this transparency enables targeted automation — instead of automating processes that are already flawed.

How IJONIS uses this

We extract event logs from your systems and create data-driven process maps with Celonis, ProM, and Python-based analyses. Results feed into a prioritized automation roadmap: which processes deliver the highest ROI, which need redesign first?

Frequently Asked Questions

What data does process mining need from our ERP?

Three core fields per event: a case ID (e.g., order number), an activity name (e.g., "Order created"), and a timestamp. Most ERP systems — SAP, Microsoft Dynamics, DATEV — already log this data, so no additional implementation is usually required.

How long does a process mining analysis take?

We deliver an initial analysis with actionable results in 2-3 weeks. Data extraction typically takes just a few days. Most time goes into interpretation together with your domain experts and deriving concrete optimization measures.

← Back to Glossary

Want to learn more?

Find out how we apply this technology for your business.

Start AI Readiness Check