Introduction

Effective auditing depends on the ability to analyse data accurately, interpret findings objectively, and translate evidence into reliable conclusions. In today’s complex operating environments, organisations generate large volumes of data, yet many struggle to convert this data into meaningful insight that supports audit quality, risk mitigation, and performance improvement.

The Analytical and Auditing Skills Training Course focuses on developing the analytical capability required to support high-quality audits and evidence-based decision-making. It strengthens participants’ ability to cleanse data, apply appropriate analytical techniques, and assess internal controls using reliable information. By integrating analytical thinking with auditing discipline, this course supports stronger assurance, reduced risk exposure, and improved organisational transparency.

Key focus areas include:

 

Key Learning Outcomes

At the end of this training course, participants will be able to:

Training Methodology

The Analytical and Auditing Skills Training Course follows a highly practical, application-focused learning approach. Participants work through guided case studies and analytical exercises to develop confidence in data analysis, auditing techniques, and evidence-based reporting, ensuring skills can be applied directly in professional audit environments.

 

Analytical and Auditing Skills

Who Should Attend?

This training course is ideal for professionals seeking to strengthen analytical and auditing capability, including:

  • Internal and External Auditors
  • Risk and Compliance Professionals
  • Finance and Accounting Specialists
  • Performance and Quality Managers
  • Operational Managers involved in assurance activities
  • Professionals responsible for audit reporting and analysis

Course Outline

Day 1

Analytical Skills

  • Steps in the Analytical Process
  • Organising and Collecting Data
  • Evaluating Data and Addressing Information Gaps
  • Communication
  • Creativity
  • Critical Thinking
  • Research
  • Qualitative Analysis
Day 2

Quantitative Analysis

  • Continuous Variables
  • Charts and Graphs
  • Mean
  • Standard Deviation
  • Normal Distribution
  • Discrete Variables
  • Patterns and Seasonality
  • Correlation vs. Causation
Day 3

Data integrity

  • Data Cleansing – duplicates
  • Data Cleansing – outliers
  • Common vs. Special Causes
  • Control Chart
  • Pareto Analysis
  • Indices
Day 4

Auditing Skills

  • The Responsibilities of an Auditor
  • Attributes of Effective Auditors
  • Planning & Preparation
  • Developing Audit Documentation
  • Conducting an Audit
  • Effective Questioning
  • Collection and Analysis of Objective Evidence
  • Maintaining Independence
Day 5

Reporting

  • Identifying Improvement Opportunities
  • Developing and Documenting Audit Findings
  • Discussing and Preparing Audit Conclusions
  • Using Graphs and Charts as Appropriate
  • Presenting Findings and Conclusions
  • Follow-up

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FAQs

The course focuses on building strong analytical capability to support effective auditing and assurance activities. It enables participants to use data as a reliable basis for evaluating controls, performance, and risk.    

Yes, the Analytical and Auditing Skills Training Course integrates data analysis methods with core auditing principles. This combination strengthens the quality of audit findings and supports evidence-based conclusions.

Absolutely. The course addresses data cleansing, validation, and integrity controls that are essential for reliable analysis and audit trails. These skills help reduce errors and improve confidence in audit outcomes.    

Yes, the course is designed to be practical and accessible while still delivering robust analytical capability. Participants build skills progressively through applied exercises and real audit scenarios.    

Participants learn how to present findings clearly using structured reports, charts, and data-driven narratives. This improves stakeholder understanding, supports decision-making, and enhances audit credibility.

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