Collect the digital traces.
Bring together transactions, event timestamps, users and business objects from ERP, CRM and workflow systems.
Process intelligence, explained
What is
What is
process mining?
Process mining reconstructs how work actually happened from the digital traces left in business systems. It turns event data into a living view of the real process, including every path, delay, rework loop and deviation.
Live process reconstruction
Case 1002026RO1019
Order-to-Cash
01Sales order06 Jul · 09:50
6 days
02Delivery13 Jul · 00:00
24 hours
03Invoice blocked14 Jul · 00:00
30 days
04Cash impactEvidence attached
ReconstructDiscoverExplainImprove
The simple definition
Your systems already record the process. Process mining makes it visible.
Every order, invoice, payment or approval leaves a timestamped trace. Process mining connects those traces by business case and orders them into the sequence that actually occurred.
This creates an objective process model from data, not from interviews or an ideal flowchart. Teams can compare expected execution with reality and move from an aggregate signal to the exact cases behind it.
01Case IDWhich order, invoice or business object?
+
02ActivityWhat happened?
+
03TimestampWhen did it happen?
Users, values, customers, companies and documents add the business context needed to explain why the process behaves that way.
From records to reality
Reconstruction is the foundation. Insight is the outcome.
Build the real sequence.
Order every event by case and time to reveal the actual path, waiting periods, handoffs and repeated work.
Find patterns that matter.
Compare variants, cycle times, touchless execution and conformance across the complete available population.
Turn evidence into action.
Prioritize root causes by impact, route cases to owners or automations, and monitor whether the result improves.
Evidence, not assumption
See the process.
See the process.
Then verify every conclusion.
A selected case connects its source records, ordered event history and reconstructed path in one view. The insight remains explainable because the supporting evidence never disappears.
PISE Process ExplorerCase evidence connected
SignalA case waits 30 days after invoice output is blocked.
→
EvidenceEvery activity, timestamp, user and source record is visible.
→
DecisionFix the failure point and route affected cases to an owner.
What process mining reveals
Questions a conventional dashboard cannot answer alone.
Variants
Which paths are actually followed, how often, and where do exceptional routes appear?
Bottlenecks
Where does work wait, which handoff creates delay, and how much cycle time is lost?
Rework
Which activities repeat, reverse or create avoidable manual effort across the process?
Automation potential
Which activities are touchless today and where can automation remove repeated intervention?
Conformance
Where does execution deviate from approved sequences, policies or control requirements?
Business impact
Which process behavior affects cash, cost, customer outcomes, capacity or risk?
Where PISE goes further
Process mining explains the flow. PISE helps change the outcome.
01Process reconstruction
Discover real paths, variants, waiting time, rework and deviations.
02Business context
Connect behavior with customers, financial value, risk and strategic priorities.
03Decision intelligence
Explain what matters, quantify the impact and identify the best intervention point.
04Execution and value
Send work to people or automations, preserve evidence and measure the result.
See it applied
Explore process intelligence in Order-to-Cash.
In plain language
Common questions.
Is process mining just another dashboard?+
No. A dashboard summarizes selected metrics. Process mining reconstructs the sequence behind those metrics and preserves the route from an aggregate pattern to each contributing case and event.
Does it replace business intelligence?+
No. BI remains useful for reporting and visualization. Process mining adds sequence, time and case context, answering how a result was produced and where execution diverged.
Does the source data need to be perfect?+
No, but the event model must be governed. PISE makes data coverage and assumptions visible so teams understand what the reconstruction includes and where quality should improve.
How is evidence preserved?+
Every finding can remain connected to its affected population, cases, source objects, activities, timestamps, users and calculations.
Ready to see your real process?