Our Methodology

Four-Step Process Mining Methodology

Proven academic frameworks applied to real business problems.

Event Log Extraction & Preparation

We work with XES, CSV, and MXML formats from any system that records timestamped activities. Every log is anonymized and cleaned before analysis starts.

Data Sources:

  • ERP systems (SAP, Oracle, Dynamics)
  • CRM platforms (Salesforce, HubSpot)
  • Database transaction logs
  • Custom application event streams
  • Process orchestration tools (Camunda, Activiti)

Quality Checks: We validate data completeness, check for missing timestamps, and ensure case ID consistency before proceeding.

Algorithm Selection & Application

We pick the best mining algorithm based on your data and business questions.

Alpha Miner: For finding process models from sequence data with clear causality
Heuristic Miner: For handling noise and spotting main process flows in complex environments
Inductive Miner: For building block-structured process trees with guaranteed soundness
Fuzzy Miner: For complex, unstructured environments with high process variability

Analysis & Visualisation

We produce interactive process maps, dotted chart diagrams, and performance sequence diagrams using industry-standard tools including ProM, Disco, and Celonis.

Visual Outputs:

  • Process model diagrams with frequency/performance annotation
  • Dotted charts showing case progression over time
  • Resource utilisation heatmaps
  • Variant analysis showing process deviations
  • Performance statistics per activity and path

Insights & Recommendations

Clear, plain-language findings with supporting data evidence. No jargon without explanation. Every recommendation includes impact assessment and implementation guidance.

Deliverable Format:

  • Executive summary (2 pages maximum)
  • Process maps with annotations
  • Detailed findings by business function
  • Prioritised improvement opportunities
  • Implementation roadmap with timelines
  • ROI estimation where data permits

Industry-Specific Process Patterns

Select your industry to see typical process mining findings and patterns we discover:

Start Process Review End

Process mining reveals unique patterns and inefficiencies specific to each industry and organisation.

Data Governance Standards

UK Data Residency: All client data remains within UK borders throughout the engagement. We use secure, encrypted storage in London data centres.

GDPR Compliance: Full adherence to UK GDPR requirements. We act as data processor under your data controller authority.

ISO 27001 Principles: Information security management following international standards for confidentiality, integrity, and availability.

Data Retention: Client data deleted within 30 days of project completion unless otherwise specified in Statement of Work.

Tools & Technologies

Process mining tools and data analysis technologies

Process Mining Platforms:

  • ProM Framework (open source)
  • Disco (Fluxicon)
  • Celonis Process Intelligence
  • Apromore Community Edition

Data Processing: Python, R, SQL for custom analysis and integration with client systems.

Ready to See Our Methodology in Action?

Book a discovery call to discuss how our four-step process applies to your specific business challenges.

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