Root Cause Analysis (RCA) – Self-Paced Online Training (E-Learning)
E-learning code:
Root Cause Analysis identifies underlying reasons for problems. It's a methodical approach to understand, address, and prevent issues from recurring. The Root Cause Analysis Training Program is a specialised professional development program training program designed to equip IT professionals with the knowledge and skills necessary to identify and address the root causes of incidents and problems within an enterprise IT service environment.
This program is architected to equip participants with the skills and techniques necessary to identify and address the underlying causes of problems and issues within various contexts. Root Cause Analysis Certification Training is particularly beneficial for these professionals:
Quality Assurance Professionals
Operations Managers
Project Managers
Safety and Risk Management Professionals
Problem-Solving Teams
Process Improvement Specialists
Manufacturing and Production Managers
There are no formal prerequisites for enrolling in this training program in Root Cause Analysis. However, basic problem-solving and analytical skills would be beneficial for the participants.
Root cause analysis (RCA) is a critical practice in IT service management that helps enterprises identify underlying issues that contribute to service disruptions and failures.
IT managers, incident managers, problem managers, service desk analysts, and anyone involved in incident and problem management should prioritise participating in the Root Cause Analysis Course. This comprehensive program is particularly relevant for professionals seeking to enhance their understanding of RCA methodologies, techniques, and industry best practices to improve service reliability and minimise business impact.This professional development program provides participants with a complete understanding of how the facilitator collects and organises information. They will acquire proficiency to use transfer symbols to connect the inputs and outputs of related fault trees. They will also develop the skills to sort out priority concerns and avoid working on the wrong issue.
Learning Objectives
To understand the importance of root cause analysis in incident and problem management
To learn various RCA methodologies, techniques, and industry best practices
To develop skills in gathering relevant data and analysing causal factors
To identify and address the root causes of incidents and problems effectively
To formulate actionable recommendations to prevent recurrence and improve service reliability
To empower IT professionals to drive continuous improvement through effective root cause analysis practices
Module 1: Introduction to Root Cause Analysis
What is Root Cause Analysis?
Casual Factors
Direct Cause Vs Root Cause
Goals of Root Cause Analysis
Root Cause Identification
Module 2: Improvement Methodologies
3 Cs
Eight Ds
PDCA (Plan, Do, Check, Act):
DMAIC
Kaizen
Kaizen Limitations
Kepner-Tregoe Analysis
Module 3: Gather and Manage Data
Overview
Data Collection
Gather Data
Module 4: Root Cause Analysis Techniques
Introduction
Five ‘Whys’
Cause and Effect
Pareto Analysis
Change Analysis
Barrier Analysis
Scatter Diagrams Correlation and Regression
Correlation and Causation
Forecasting
Pearson's Correlation Coefficient (R)
Regression Analysis with Scatter Diagrams
Events and Causal Factors Analysis / Flow (Process) Diagram
Fault Tree Analysis
Control Charts / Run Charts
Benefits of using a Control Chart
Run Charts
Module 5: Generate and Evaluate Effective Solutions
Effective Solution Process
7 Steps of Problem Solving
Edward De Bono and The Six Working Hats
De Bono’s Six Working Hats
Other Prioritisation/Consensus Tools
This programme does not include a certification examination.
Do you have any questions about e-learning?
Course Administrator
There are a lot of practice exercises. The training was dynamic, but we always took breaks and had time for questions. We managed the timing very well. It's evident that the instructor is experienced.
Zoltán Gyibráki
E.ON Digital Technology Hungary Kft