Big Data in Risk, Compliance and Audit™

Asia-Pacific (APAC) and Americas

Online Course


7 Aug 2020
7 Aug 2020
8:00 - 12:15 (GMT +8:00)

Program Overview

This program is part of the Practical Analytics in Risk, Compliance and Audit™ series created and delivered by MBS Academy. The program covers state-of-the-art concepts of Analytics, such as Big Data characteristics, Big Data sources and specific Big Data use cases in audit/risk, that Audit and Risk professionals and teams can apply in their everyday work.

During the program participants will learn about Big Data and its characteristics – Volume, Velocity, Variety; learn how to identify and use publicly available sources for Big Data; review available Big Data solutions and their applicability; apply Big Data to audit/risk use cases;  and perform a number of practical exercises using cloud-based APIs and local datasets.

The program contains a significant element of gamification and practical work. Every 15-20 mins there is a gamified activity, designed to reinforce the concepts that have been covered and improve retention after completion.

The last part of the program includes exercises on how to analyse employee performance and vendor-associated risk. All datasets and step-by-step instructions will be provided at the beginning of the program. Participants will be allowed to keep these and use them as a blueprint for real-life reviews they may be performing.


Learning Outcomes

Upon completion of this program, participants will be able to:

Intended Audience

Program Level and Pre-requisites for Attending

Foundation level, no pre-requisites


Program Duration

Online – 4:15 hrs 

  • 2 x 2hrs + 15 min break

Number of Attendees

Maximum 30 attendees


Training Methodology

A distinguishing feature of our programs is their practical aspect and the gamification of content and delivery. At the end of each module there is a practical exercise designed to reinforce the concepts of the module and to give participants a chance to “get their hands dirty”. The exercises are either scenarios where participants work in groups or individual tasks executed within a specially prepared software environment.

At the same time, gamification is extensively used throughout all of the content. The gamification is done on two levels: full course and individual modules. The full course gamification is based on a gamified storyline across all modules. It increases the levels of engagement, by introducing a mild competitive element, while providing consistent environment for participants.

On the other hand, small gaming activities are present in all modules. Examples include crosswords – based on the content; games like “Hangman” – using terms from the training program, etc. Their purpose is to reinforce learning, while simultaneously applying the principles of Neuropsychology and letting the brain rest every 15-20 mins for a short period of time. The 15-20-minute rests are key to efficient learning, since 20 minutes is the maximum the hippocampus, a part of the brain that takes in learning, can hold.

Program Outline

  • Big Data Definition, Characteristics, Types
    • Gamied Exercise
  • Big Data Success Stories – Case Studies
    • Law Enforcement
    • Fraud Detection
    • Risk Management
    • Gamified Activity
  • Big Data Sources
    • Internal
      • Gamified Exercise
    • External
      • Corporate
      • Public
      • Practical Work – Accessing an External Dataset
  • Big Data in Risk, Compliance and Audit™ (RCA)
    • Methodology for incorporating Big Data into RCA activities
    • Examples of Big Data Analytics in RCA
    • Practical Work – Running a Risk Assessment using Big Data

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