Process Mining

Process mining that reveals the real work.

We reconstruct every journey from the event log and quantify variants, delays, rework and bottlenecks before deciding what to change.

Case
order, invoice or incident
Event
activity and timestamp
Evidence
variant, delay and outcome
Team analysing process variants and cycle times
Every process leaves a trace.Events reveal what no written procedure can show in full.

Three columns turn scattered activity into a journey.

A case identifier, an activity and a timestamp order the facts. We then add attributes to understand why the outcome changes.

08:42Order receivedCase 1842 · Web channel
+19 hManual validationDelay outside the standard
RepeatData correctedSecond review of the same case
11:06Order releasedTotal time · 26 h 24 min

The most frequent route is not always the most costly.

We compare volume, time, rework, compliance and outcome to separate a valid exception from a repeated problem.

42% of cases

Standard route.

The time and effort reference when no exception appears.

18% of cases

Repeated approval.

A rule or missing data returns the case to an earlier stage.

9% of cases

Invisible delay.

Work stops between teams although no activity is in progress.

High impact

Few cases, significant cost.

A minority variant concentrates penalties, claims or expert effort.

Team prioritising improvements from process evidence

Every finding must end in a prioritised action.

We do not deliver only a map. We connect every variant to a probable cause, owner, impact and intervention that can be tested.

  • Remove steps that do not change a decision.
  • Correct data that causes returns and rework.
  • Redistribute capacity around the most costly delays.
  • Automate stable rules and repetitive inputs.
  • Define a baseline for verifying improvement.
View analytics and Power BI

Discovery is not enough. Improvement must reach production.

We connect process mining with redesign, automation and subsequent measurement to verify that the journey has actually changed.

What to know before the first analysis.

Speak to an expert
What data does process mining require?

At minimum, we need a case identifier, an activity and a timestamp for each event. We can enrich the analysis with owner, value, customer, channel and other attributes.

How is process mining different from drawing a process?

A diagram describes how the process should work. Process mining reconstructs how every case actually happened and quantifies variants, delays, repetitions and non-conformance.

Does process mining automate the process by itself?

No. It produces evidence for selecting and designing improvements. We can then simplify rules, change responsibilities or implement automation with Power Automate and other technologies.

Where do you suspect time is being lost?

We will review systems, events, volume and outcome to confirm whether a usable event log exists and which question it should answer.