Programme Overview
 
This is an e-learning programme.
 
Upon successful registration and payment, you will be notified via email within 10-15 mins on your enrolment confirmation with user instructions to access this programme.
 
Please complete all topics and sub-topics within the E-Learning courseware.
(The programme and assessment is valid for 6 months from the date of purchase)

Programme Objective
 
The extensive use of integrated systems storing a gigantic amount of financial and non-financial data is changing the way Internal Auditors carry out their work to add value to stakeholders. Valuable evidence may be staring in the face of the Internal Auditor and yet not be picked up if the Internal Auditor does not know how to mine and connect seemingly unrelated data to make sense out of it. Furthermore, uncertain economic conditions and pressure from competitors have led businesses to constantly look for ways to increase their competitiveness – including expecting Internal Auditors to contribute by analysing data, and providing insights into and foresight over business transactions and processes.
 
A rush to implement data analytics in the IA process often leads to unsuccessful deployment. Instead of reducing their workload, auditors may find themselves having to deal with more exceptions if they did not set their data analysis parameters right. 
 
Hence, an organised and paced approach is paramount to ensuring a successful and sustainable implementation of data analytics in IA processes.  
 
This e-learning course will demonstrate how data analytics is relevant to the work of Internal Auditors, guide Internal Auditors through key steps in the implementation of data analytics and highlight some common issues for consideration.
 

Programme Outline

 

• Overview of data analytics
• Relevance of data analytics to the work of Internal Auditors
• Types of data analytics
• 4-step data analytics approach for Internal Auditors
  • Set Objectives – what to test for
  • Locate Correct Data – Get the right data set
  • Analyse the Data – Do the test procedures
  • Verify Findings – Type 1 or Type 2 error
• Considerations in implementing data analytics
• The shift towards continuous auditing

Training Methodology
 
E-Learning (24/7) with videos and MCQ Assessment

No cancellation or change in programme enrolment once the enrolment is successful

Click here for ISCA E-Learning User Guide.

Intended For

A Foundation level programme intended for IA professionals who want to improve efficiency and effectiveness in audit or investigation via data analytics. Professionals who want to learn how to effectively identify exceptions within any data sets will also benefit from this course.

Competency Mapping

Others = 2.00 Hours

Programme Facilitator(s)