talkthesis

Up to 25% Discount for Block Bookings and NPOs     Up to 25% Discount for Block Bookings and NPOs

DATA ANALYTICS IN INTERNAL AUDIT WORKSHOP (Detail)

From Sampling to Certainty: Future-Proof Your Internal Audit with Data Analytics

Home / DATA ANALYTICS IN INTERNAL AUDIT: A 4IR PESPECTIVE (Detail)

Classroom Sessions:

Date Venue Fee
14-15 Oct | 10-11 Nov 2025 The Protea Hotel OR Tambo, Johannesburg ZAR: 9990.00

Online Sessions:

Date Venue Fee
14-15 Oct | 10-11 Nov 2025 Online via TEAMS ZAR: 7990.00

Overview

Internal Audit is at a crossroads. Traditional, sample-based audit methodologies that once served organisations well are increasingly becoming inadequate in today’s fast-paced, data-driven environment. The explosion of financial, operational, and unstructured data, coupled with heightened expectations from Boards, Regulators and Audit Committees, means that Internal Audit must evolve to remain relevant. Auditors are now expected to provide more than compliance checks — they must deliver timely insights, detect risks proactively, and support the organisation’s strategic objectives. Data analytics is the enabler that transforms this expectation into reality.

In South Africa, the pressure is particularly acute. Regulatory frameworks such as the King IV Code on Corporate Governance, the Companies Act, the Public Finance Management Act (PFMA) and the Municipal Finance Management Act (MFMA) demand higher levels of assurance, accountability and transparency. Without the use of analytics, Internal Audit risks missing critical red flags such as fraud, irregular expenditure, and non-compliance with legislation. Moreover, continued reliance on outdated, manual and time-consuming techniques undermines audit credibility, slows down reporting, and leaves organisations exposed to risks that could have been detected earlier.

This workshop is therefore not just a learning event — it is a call to action. By embracing data analytics, Internal Auditors can unlock efficiency gains, reduce costs, test entire populations instead of small samples, and deliver insights that add tangible value to the business. The alternative is stark: audit functions that fail to adopt analytics will fall behind, struggle to meet legislative and stakeholder demands, and risk being seen as obsolete. This 2-day programme provides the tools, techniques and confidence auditors need to make the transition, future-proofing their function and securing their credibility in the 21st century.

KEY TAKEAWAYS

By the end of this workshop, delegates will be able to:

  • Understand the concept of data analytics and its role in modern internal auditing.
  • Recognise the limitations of traditional, sample-based audit approaches.
  • Apply data analytics across high-risk areas such as accounts payable, payroll, revenue, inventory, and financial controls.
  • Understand South African governance and legislative requirements driving adoption of analytics.
  • Detect fraud and corruption risks earlier through data mining techniques.
  • Move from historical to predictive insights using analytics.
  • Gain confidence in applying audit tools such as IDEA, ACL, SQL and Excel.
  • Strengthen communication of audit results through impactful reporting and data visualisation.
  • Position Internal Audit as a strategic partner to management and the Board.
  • Future-proof their audit function against obsolescence in the digital age.

WHO SHOULD ATTEND?

This workshop is designed for professionals who need to strengthen their ability to apply data analytics in assurance, compliance, and governance functions, including:

  • Internal Auditors at all levels (junior, senior, and audit managers) seeking to modernise their methodologies.
  • Chief Audit Executives (CAEs) and Heads of Internal Audit who need to align their functions with King IV and Board expectations.
  • Risk and Compliance Officers tasked with monitoring fraud, irregular expenditure, and governance breaches.
  • Finance Managers, Accountants, and Controllers responsible for ensuring accuracy, compliance, and efficiency in financial processes.
  • IT Auditors and Data Specialists who support internal audit in data extraction, mining, and testing.
  • Forensic and Fraud Investigators looking to enhance detection using data-driven techniques.
  • Public Sector Auditors and Oversight Professionals working under PFMA and MFMA requirements.
  • Board and Audit Committee Members who want to understand how analytics strengthens audit assurance and governance outcomes.

By the end of this workshop, delegates will be able to:

  • Understand the concept of data analytics and its role in modern internal auditing.
  • Recognise the limitations of traditional, sample-based audit approaches.
  • Apply data analytics across high-risk areas such as accounts payable, payroll, revenue, inventory, and financial controls.
  • Understand South African governance and legislative requirements driving adoption of analytics.
  • Detect fraud and corruption risks earlier through data mining techniques.
  • Move from historical to predictive insights using analytics.
  • Gain confidence in applying audit tools such as IDEA, ACL, SQL and Excel.
  • Strengthen communication of audit results through impactful reporting and data visualisation.
  • Position Internal Audit as a strategic partner to management and the Board.
  • Future-proof their audit function against obsolescence in the digital age.

PROGRAM TIMINGS

  • Registration will begin at 08.30 on Day One.
  • The program will commence at 09.00 each day and continue until 16.30.
  • There will be two refreshment breaks and lunch at appropriate intervals.