Object-Centric Process Mining

Most traditional process mining tools assume your process follows a single "case" with a linear sequence of events. But real business processes are rarely that simple.

The Traditional Limitation

Traditional process mining assumes:

One case ID (e.g., Order ID)
Events belong to exactly one case
Linear sequence of activities
No complex relationships between entities

Problem: This doesn't match reality for many processes.

Real-World Example: Loan Applications

In a real loan application process:

A loan goes through approval steps
The loan belongs to a customer (who might have multiple loans)
Multiple officers review different aspects
A single credit check might be shared across multiple applications
Documents are attached to both customers and specific loans

Traditional tools force you to "flatten" this complexity, losing important relationships.

The Object-Centric Solution

Flow Myna uses object-centric process mining, which natively supports:

Multiple object types: Loans, Customers, Officers, Documents
Many-to-many relationships: One credit check can relate to multiple loans
Object interactions: See how loans, customers, and officers interact
Natural modeling: Represent your process as it actually exists

Why This Matters

Object-centric process mining lets you answer questions traditional tools can't:

"How do high-value customers' loans flow differently?"
"Which officers handle the most complex cases?"
"How does workload distribution affect approval times?"
"What happens when multiple loans from the same customer are processed simultaneously?"

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.