Operational Excellence
Process Mining and Intelligent Automation for Operational Excellence
This in-depth course develops directly applicable capability in Process Mining and Intelligent Automation for Operational Excellence. It connects Event Data and Process Visibility, Discovery and Conformance Analysis, and Automation Opportunity Assessment to the decisions, controls, and activities participants need to perform in their workplace.
Overview
Practical learning for workplace transfer.
This in-depth course develops directly applicable capability in Process Mining and Intelligent Automation for Operational Excellence. It connects Event Data and Process Visibility, Discovery and Conformance Analysis, and Automation Opportunity Assessment to the decisions, controls, and activities participants need to perform in their workplace. The five-module curriculum progresses toward Process Intelligence Workshop, using evidence, scenarios, and work products appropriate to the subject.
Objectives
- Analyze event data and process visibility, including case identifiers, activities, timestamps, resources, and attributes.
- Configure or structure discovery and conformance analysis, including process variants, loops, rework, waiting, and handoff patterns.
- Evaluate automation opportunity assessment, including separate rules-based work from judgment, exception, and relationship work.
- Manage control and benefit realization, including design human approvals, exception queues, logging, and fallback.
- Apply process intelligence workshop, including analyze a sample event log.
Target audience
- Professionals responsible for this subject area
- Managers, supervisors, and team leaders
- Analysts, specialists, engineers, or coordinators working with the relevant processes
- Project, implementation, assurance, or improvement team members
- Professionals preparing for broader responsibilities in this field
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: Event Data and Process Visibility
Case identifiers, activities, timestamps, resources, and attributes
Extract and validate event logs from enterprise systems
Address missing events, duplicate records, and clock inconsistencies
Module 2: Discovery and Conformance Analysis
Process variants, loops, rework, waiting, and handoff patterns
Compare actual flows with intended models
Segment behavior by customer, product, location, and outcome
Module 3: Automation Opportunity Assessment
Separate rules-based work from judgment, exception, and relationship work
Quantify volume, effort, delay, failure, and control impact
Select workflow, RPA, integration, or AI interventions
Module 4: Control and Benefit Realization
Design human approvals, exception queues, logging, and fallback
Validate baseline, adoption, capacity release, and service outcomes
Monitor process drift and automation-created failure demand
Module 5: Process Intelligence Workshop
Analyze a sample event log
Identify bottlenecks and automation candidates
Build an implementation and measurement case
Materials provided
- ○ Course-specific presentation slides
- ○ Guided exercises, scenarios, or configured-environment activities appropriate to the subject
- ○ Course-specific worksheets, checklists, or calculation templates
- ○ Applied workplace case materials
- ○ 4D Certificate of Completion issued by 4D Training & Consultancy
- ○ Post-course support for implementation questions
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
4D Training & Consultancy adapts the program to the client’s operating environment. Delivery combines structured explanation with subject-specific analysis, exercises, and implementation decisions so participants can transfer the learning to real responsibilities without implying vendor authorization.
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