Data Analysis for Internal Auditors

21 - 25 Jan. 2024

Dubai - 4500

To enhance understanding of data analysis methods used in internal auditing, and to equip participants with the skills and knowledge to extract, interpret and analyze data effectively for audit purposes.

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21, Jan 2024
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Agenda Request : Data Analysis for Internal Auditors

Data Analysis for Internal Auditors

21, Jan 2024
Dubai
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Details

This course delves into the techniques and tools of data analysis relevant to internal auditors. It provides participants with hands-on experience in data extraction, data cleaning, data interpretation, and analytical reporting, all within the context of internal auditing.

Target Group

Internal Auditors, Audit Managers, Risk Managers, Compliance Managers, and individuals looking to enhance their data analysis skills within the context of internal auditing.

Target Group: Professionals in auditing, risk management, and compliance sectors looking to enhance their data analysis skills specifically for auditing tasks.

Goals

  • Understand the importance of data analysis in internal auditing
  • Learn to extract, clean, and manage data for auditing
  • Gain skills in interpreting and analyzing audit data
  • Develop the ability to present audit findings effectively using data visualization tools
  • Understand the ethical considerations of handling data in an audit context

Target Competencies

  • Data extraction and cleaning
  • Data analysis and interpretation
  • Use of data analysis tools relevant to auditing
  • Data visualization and reporting
  • Ethical handling of data

Outlines

Importance of Data Analysis in Internal Auditing

  • Understanding the role of data analysis in audit planning, execution, and reporting
  • The impact of data analysis on audit effectiveness and efficiency
  • The role of data analytics in risk assessment
  • The relationship between data analysis and audit assurance
  • Case study: Successful audits driven by effective data analysis

Data Extraction, Cleaning, and Management

  • Techniques for data extraction in an audit context
  • Methods for cleaning and preparing data for analysis
  • Best practices for data management to ensure integrity and security
  • Importance of data quality in audit analysis
  • Hands-on exercise: Data extraction and cleaning for a mock audit
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