Process data
Process Mining by Design.
The basis for analysis is not the intended process, but its actual execution. Real paths, variants and recurring deviations become visible within their operational context.
The difference begins before the analysis
The process history does not have to be reconstructed.
Process mining normally begins with a data project: extracting events from multiple systems, cleaning them, aligning them in time and assembling them into a process. The effort begins before the first question is answered. And what the source systems do not provide is permanently unavailable for retrospective analysis.
In 420+, the transaction and its history arise from the same operational action.
The event history is not a by-product. It is part of the system architecture.
A result therefore remains connected to what led to it: materials used and actual consumption, quantity movements and states, environmental parameters and measurements, the SOP version performed, areas and equipment including their inspection status, triggered measures and responsibilities.
Not only the result is preserved, but also the conditions under which it was produced.
SOP effectiveness
Does a work instruction actually work?
An SOP is changed to make a process safer or more reliable. What is often missing afterwards is a robust comparison: the earlier version is no longer clearly connected to the workflows and results produced under it.
420+ permanently links every workflow to the version that was actually executed. Runs before and after a change become comparable. Are there fewer questions? Less rework? Or has the deviation merely moved elsewhere?
The same applies to actions. A repeated test, a block, an additional step and the controlled return to a stable state remain part of the same history. This reveals which action resolves a problem sustainably and which merely shifts it.
Process improvement becomes measurable, not merely approved.
Analysis
Where material, time and quality are lost.
Across multiple runs, individual workflows become a comparable process. The comparison makes questions answerable that would otherwise require a separate data project.
Which variant is more stable? Where does material consumption rise? At which handover do waiting times occur? Which environmental conditions or measurements repeatedly precede a deviation? Which SOP version causes fewer corrections?
Differences between sites also become visible and comparable. The same process, the same requirement, a different outcome – material, technical equipment, environment and actual execution remain part of the comparison. This narrows down where a change promises the greatest effect.
Data foundation
Analysis is designed in from the start.
420+ brings operational events together on a shared time basis. Objects, material movements, states, responsibilities, measurements, SOP executions and actions remain connected in their professional context.
Every workflow adds to a consistent and analysable process history.
No second layer of documentation is created for this purpose. 420+ uses what is already required for execution, traceability and evidence. The regulatory context therefore gains additional economic value.
Traditional Process Mining projects first have to reconstruct this foundation from separate systems. In 420+, it is created directly during operation.
The data foundation does not have to be built afterwards. It grows with every executed process.
Process knowledge
Recurring workflows become robust patterns.
The more comparable workflows are executed, the clearer differences and recurring relationships become.
Stable process variants emerge alongside unusual material consumption, repeated waiting times, conspicuous measurement trends, unfavourable technical conditions or actions after which the same deviation occurs again.
The operational history develops into an increasingly precise picture of what works, where performance is lost and where a change promises the greatest effect.
Professional judgement remains with people. It no longer relies solely on isolated observations, memory or disconnected spreadsheets.
With every run, the operation builds its own process knowledge.
See what your process data can deliver.
We show how 420+ preserves process-relevant relationships during execution and turns them into a robust foundation for Process Mining.
How the history is created and why it is reliable: Explore the ledger architecture →