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GLOSSARY

THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE

PRACTICE
INTELLIGENT AUTOMATION

Process Mining

The analysis of event logs to reconstruct, measure and improve real operational processes.


BUSINESS RELEVANCE

It can reduce manual work and cycle time while improving consistency, but it also concentrates operational risk if controls are weak.


IMPLEMENTATION EXAMPLE

A cross-functional team applies Process Mining in a production initiative, defines ownership and success criteria, tests representative scenarios, monitors outcomes and records corrective actions before scaling.


LIMITATIONS

Automating a poorly designed process can scale errors. Exceptions, changing systems and unclear accountability require ongoing maintenance and human intervention.


TECHNICAL EXPLANATION

The analysis of event logs to reconstruct, measure and improve real operational processes. Implementation requires defined triggers, inputs, rules, system permissions, exception paths, human escalation, audit logs and monitoring. Reliable automation is designed for retries, idempotency and recovery rather than only the happy path.


Secondary Topics

Data Engineering, Systems Architecture

Sources

NIST — Cybersecurity and automation guidance — https://www.nist.gov/; IEEE — Software and systems standards — https://standards.ieee.org/

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