Flow Myna

Introduction

What Insights Can You Get?

Process mining reveals three types of insights: how work actually flows, where processes deviate from design, and where bottlenecks slow things down.


See How Work Actually Flows

Process Discovery automatically creates process maps from your event data. Instead of manually drawing flowcharts based on how processes should work, process mining shows you how they actually work.

Example: Your loan approval process might have an official 5-step procedure, but process mining might reveal that 30% of loans go through an additional review step that's not documented.


Find Compliance Gaps

Conformance Checking compares your actual process execution against your intended design. Identify where reality deviates from the plan and understand why.

Example: You expect all high-value loans to get director approval, but process mining shows that 15% skip this step during end-of-quarter rushes.


Identify Bottlenecks

Process Enhancement helps you find opportunities for improvement by analyzing bottlenecks, rework loops, and performance variations.

Example: Process mining reveals that loans requiring manual document verification take 8 days longer on average, suggesting automation opportunities.


Real-World Use Cases

Process mining applies to any business process where you have event data:

Financial Services

Loan Application Processing

  • Discover actual approval paths
  • Identify delays in underwriting
  • Compare performance across loan types
  • Optimize document verification steps

Fraud Detection

  • Analyze transaction patterns
  • Identify unusual process deviations
  • Track case handling efficiency
  • Monitor compliance adherence

Healthcare

Patient Journey Analysis

  • Map actual care pathways
  • Identify treatment delays
  • Optimize resource allocation
  • Improve patient flow

Claims Processing

  • Discover claim approval patterns
  • Identify processing bottlenecks
  • Reduce denial rates
  • Streamline approval workflows

E-Commerce

Order Fulfillment

  • Analyze order-to-delivery times
  • Identify shipping delays
  • Optimize warehouse operations
  • Improve customer satisfaction

Customer Support

  • Map ticket resolution paths
  • Identify escalation patterns
  • Reduce resolution times
  • Improve first-contact resolution rates

Manufacturing

Production Workflows

  • Discover actual production sequences
  • Identify quality control bottlenecks
  • Optimize equipment utilization
  • Reduce cycle times

Process Mining Fundamentals

This is part of a 4-part introduction to process mining:

What is Process Mining?

The basics of data-driven process analysis.

What Data Do You Need?

Event logs, timestamps, and case IDs explained.

Object-Centric Approach

Handle real-world complexity with multiple objects.

What Insights Can You Get?

Bottlenecks, compliance gaps, and optimization opportunities.