Discovery and data extraction
Identification of processes, log sources (SAP, CRM, ITSM) and key attributes. ETL into the Process Mining platform.
Process Mining and Task Mining - decisions based on facts
The real process map based on system logs - how the process actually runs, not how people remember it. Identification of bottlenecks, variants, unit cost. The foundation of every automation initiative.
What your organisation gains
Automation decisions based on data
The ROI of a bot is calculated on actual data rather than estimates. Without Process Mining, 30-50% of RPA projects lack a properly calculated business case.
Identification of bottlenecks
A specific process step, a specific day of the week, a specific department - all of this is visible on the process map. This allows decisions to be based on data rather than speculation.
Detection of variants and deviations
A "standard" process usually has 20-100 variants. Process Mining shows which variants cost the most and whether they comply with the rules of the process.
Ongoing process analysis
After implementation, cyclical process monitoring, anomaly alerts and a management dashboard with cycle time and unit cost become possible.
What we deliver on this project
Process models and KPIs
Reconstruction of actual paths, identification of variants, cycle times, bottlenecks and unit cost.
Task Mining - the "employee" layer
Analysis of what the user actually clicks - for tasks that do not run through a system (Excel, email, documents). Combined with Process Mining.
Automation potential map
A ranking of processes by automation ROI - which process is best automated first, which second, and which should stay with people.
Conformance checking
Is the process executed in line with the procedure? Detection of deviations, misuse and breaches of internal policy.
Continuous monitoring
After the project - a management dashboard with process KPIs, anomaly alerts, and a monthly report for the COO.
How we deliver projects in this area
We start Process Mining by identifying 2-3 processes with the greatest potential (typically: P2P, O2C, ITSM, HR). Technical discovery (logs, attributes, extraction cost) takes 2-3 weeks. The first process map is ready within 4-6 weeks. This is followed by a workshop with the business - interpreting results and identifying priorities. From this comes an automation roadmap grounded in facts.
Technology stack
UiPath Process MiningUiPath Task MiningUiPath Communications MiningCelonis (integrations)SAP Signavio (integrations)Microsoft Power BISnowflakeAzure SynapseSAP HANASalesforceServiceNow
The team’s certifications and experience with UiPath, Process Mining, Task Mining and process analysis confirm SNOK’s readiness to deliver process optimisation projects.
Where we have delivered similar solutions
FMCG manufacturer
P2P Process Mining across three entities - identified savings of PLN 1.2 million a year
Healthcare operator
HR process Task Mining - a map of the team’s actual work, the foundation for agentic automation
Financial sector company
KYC Process Mining - reduced handling time from 8 days to 2
FAQ - Process Mining
How does Process Mining differ from BPMN/Visio? +
BPMN/Visio describes the process as it is meant to be (the ideal). Process Mining shows the process as it actually is (the factual). The gap between the two is often surprising.
What systems are needed? +
Logs from the system in which the process actually "lives" - SAP, CRM, ITSM, ERP. Each event needs a timestamp, a user and attributes. This is usually available in standard audit tables.
How long does the first project take? +
Typically 6-10 weeks for the first process - from discovery to presenting the map to the business. Subsequent processes go faster because the ETL can be reused.
Do we need UiPath to start Process Mining? +
No - Process Mining does not require RPA. Often it is the other way round - Process Mining precedes the decision to use RPA. But if automation with UiPath is the eventual plan, Process Mining within this stack gives the most direct path from map to bot.