Process Discovery

Process discovery uses event log data from your IT systems to automatically visualize how processes actually execute - revealing the real process versus the documented process. The gap between the two is often your biggest optimization opportunity.

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Key Capabilities

Automated Process Mining

Extract event logs from your systems and automatically generate visual process models showing every variant, path, and exception in your actual process execution.

Process Variant Analysis

Identify all the different ways a process executes across cases, revealing which variants are optimal and which cause delays and errors.

Social Network Analysis

Map the network of human interactions within processes - who collaborates with whom, where handoffs occur, and where communication gaps exist.

Happy Path Identification

Identify the optimal process execution path (happy path) and measure what percentage of cases follow it versus deviating into slower variants.

Process Documentation Generation

Automatically generate accurate process documentation from mined data, replacing outdated manual documentation.

Implementation Roadmap

Data Extraction

Extract event logs from ERP, CRM, ITSM, and other transactional systems.

Model Discovery

Automatically generate process models from event log data using mining algorithms.

Variant Analysis

Analyze process variants, identify the optimal path, and quantify deviation impact.

Insight Generation

Translate discovery findings into actionable optimization recommendations.

Use Cases

Order-to-Cash Discovery

Mine ERP event logs to discover the actual order-to-cash process, revealing delays and workarounds invisible to management.

IT Service Discovery

Analyze ITSM ticket data to discover actual incident management flows versus documented ITIL processes.

Procurement Discovery

Map actual procurement processes from requisition to payment, identifying maverick buying and approval bottlenecks.

Claims Processing Discovery

Reveal actual claims handling patterns, identifying fast-track paths and common delay causes.

Tools & Technology

Celonis SAP Signavio IBM Process Mining Minit Apromore ProM Disco

FAQ

Event logs with three fields: Case ID (identifies the process instance), Activity Name (what happened), and Timestamp (when it happened). Most ERP and CRM systems capture this data in their audit logs.

Process mining discovers the actual process from real data, so it is 100% accurate for what your systems record. Coverage depends on data quality - processes partially executed outside IT systems may have gaps.

Data extraction takes 1-2 weeks. Initial discovery results are available within days of data loading. Comprehensive analysis with variant decomposition and root cause analysis takes 3-4 weeks total.

Often yes, and that is the point. Discovery commonly reveals workarounds, policy violations, and informal processes that management did not know existed. These findings are the biggest optimization opportunities.

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Our process optimization experts will analyze your current workflows and deliver a detailed improvement roadmap.

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