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4 - AAU - Accounting and Financial Auditing

AAU 205 - Data Analysis for Internal Auditors

Code Start Date Duration Venue
AAU 205 03 July 2023 5 Days Istanbul Registration Form Link
AAU 205 28 August 2023 5 Days Istanbul Registration Form Link
AAU 205 23 October 2023 5 Days Istanbul Registration Form Link
AAU 205 18 December 2023 5 Days Istanbul Registration Form Link
Please contact us for fees


Course Description

Executing a cost-effective and value-added audit requires an understanding of population analysis. Without this knowledge, you run the risk of spreading your resources and your sampling over low risk subsets of the population. This could result in crucial data not being collected. In this course, you will learn when and how to use population analysis in the planning phase of the audit and how to identify subsets of the population that behave differently from a benchmark data set.

Course Objectives

  • Summarize introductory terminology and methodology related to Data Analysis.
  • Understanding the conditions and methodology of population sampling
  • Determine the measure of hypothesis tests 
  • Evaluate the important data needed and how to gather it 
  • Practice some statistical methods 

Who Should Attend?

  • Junior Internal Auditors
  • Internal Audit Specialist
  • Auditors
  • Managers
  • Executives working in both the public and private sectors

Course Details/Schedule

Day 1

  • Concepts of big data
  • Transforming data analytics to business
  • Internal Auditor's function through the use of data and analytics
  • Use of Data through the Audit Lifecycle
  • Identify how data analytics can transform all parts of the audit lifecycle, from planning, risk assessment, execution, reporting, and through to monitoring

Day 2

  • Recognising the data analytics maturity continuum
  • Collecting and enriching data can be used for analysis,
  • Understanding the audit environment better
  • Identifying risks during the planning

Day 3

  • Different types of analytics
  • Descriptive, predictive, and prescriptive analytics
  • Analytical techniques to auditing a business process
  • The use of advanced analytics, such as machine learning, within audit testing

Day 4

  • How to build the strategy around a data-enabled
  • Internal Auditor function, considering people, process and technology
  • The Landscape of tools applicable to data auditing

Day 5

  • Methods to create impact and the business case for data analytics
  • Identify areas within your existing IA function that can be improved via data