Quick Definition
Process mining is the use of data and AI to analyse how business processes actually operate - by examining event logs from existing systems - and identify inefficiencies, bottlenecks, and automation opportunities. It shows you where time and money are being lost before you start automating.
Detailed Explanation
Process mining starts with data, not assumptions. Instead of mapping how you think a process works, process mining analyses your actual system logs - from your ERP, CRM, email, or accounting software - to show exactly how processes are executed in practice.
This often reveals surprises: processes that management assumes take 3 hours actually average 9 hours in practice; invoices that should follow a two-step approval process are actually routed through five steps due to informal email chains; customer enquiries assumed to be responded to within 1 hour are averaging 6 hours.
Process mining is the diagnostic foundation for intelligent automation. Before investing in automation, process mining tells you which processes are the highest priority, what variation exists in how they are executed, and where the greatest efficiency gains are available.
For businesses in India preparing for digital transformation, process mining prevents the common mistake of automating a broken process - which simply delivers a faster version of something that was wrong to begin with.
Business Example
A manufacturing company in Coimbatore uses process mining on their ERP event logs to analyse their procurement process. The analysis reveals that 40% of purchase orders are delayed due to a single approval step where orders wait an average of 2.7 days. This insight directs the automation roadmap immediately.
Why It Matters
- Reveals where processes are actually losing time and money - not just where you assume they are
- Provides a data-driven foundation for automation investment decisions
- Identifies process variations that need to be standardised before automation
- Accelerates the AI consultation and implementation planning phase
Related Terms
Concept
Business Process Automation
Task
AI Consultation
Concept
Intelligent Automation
Concept
Workflow Automation
Concept
Robotic Process Automation (RPA)
Concept
System Integration
Frequently Asked Questions
Modern process mining tools can connect to common business systems (ERP, CRM, accounting software) with relatively straightforward setup. The analysis phase is typically managed by a specialist.
Process mining is most powerful when there is sufficient event data - typically from businesses with at least moderate transaction volumes. For very small businesses, manual process mapping may be a simpler starting point.
Both. An initial process mining analysis provides the automation roadmap. Ongoing monitoring tracks process performance after automation is implemented, identifying new improvement opportunities.
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