Applied IS Risk, Control and Audit™: Foundations

Details

23 Mar 2020

24 Mar 2020

5:30 PM

This masterclass is designed to provide an initial understanding of the IS Auditing process, how it fits within the overall environment of an organisation and to cover the most common reviews that an IS auditor will face in their work. It will also provide an overview of a series of new technologies and the risks associated with them.

Program Overview

This hands-on program aims to give the participants an understanding on the types of data analytics, its benefits, the various standards of data analytics along with their respective limitations.
Throughout the program, there will be group discussions, case studies and practical analysis as attendees will learn the different types of data analytics modes. Participants will also be given the opportunity to experience “hands on” in building a Machine Learning model of a business process and discover relationships within datasets.
The program contains a very strong focus on hands-on learning. During the two days, students will spend 30-40% of their time performing practical tasks or taking part in role-playing scenarios.
Software and datasets for Standard, Advanced and “State-of-the-Art” analytics will be provided during the course. Attendees can keep those and use them in their work afterwards.

Testimonials

“We have been asked to incorporate data analytics into out audits by our CEO and this has been a challenge over the last couple of years. The aim for attending this training was to get an understanding (and some practical tips) of how I can incorporate data analytics into our audits and to produce audit results that will provide value to the business. The techniques and practises learnt in this training will really help in implementing data analytics into my audit work. Especially, the use of database and the continuous auditing techniques which I am planning to implement. Business Intelligence was also very interesting for future analytical work, but for a start, I will investigate and implement a dedicated database for Audit Data Analytics.”

Jeffery P.IT Audit Manager; Banking and Finance Organisation

“The ‘applied data analytics in RCA’ was my first training with the UAE IAA, it was well structured and informative. The course content will definitely be of good use for me and my team here at SCAA as we are exploring ways to a more modern and more efficient ways to improve our internal audit service. The basics is what we will start with as suggested by you during the course. As the course instructor you were very relaxed and answered all our questions and thank you for answering all my doubts, your help were very much appreciated. Despite not all of us had access to the databases on the computers, I believed we all had a view of how the data analytics on the databases you provided works. I will definitely consider more courses for my myself and my team with the institute in the future”

Kareen B. (IA Cert)Manager Audit & Compliance (CEO Secretariat); Regulatory Body

“I enjoyed the workshop very much. I learnt couple of simple tools that could help me very much in applying data analysis in my work. Thank you for your time. Intending to teach my colleagues on the use of the tools and processes.”

Antonia K.Director – Business Applications, ICT Division; Government Organisation

“This training was extremely informative and provided me with valuable information that I can use immediately to make my projects a success. This was my first training on machine learning. I like how open the presenter was in terms of sharing from his data analytics experiences and how he got there. This openness makes it easier to relate to my own business problems and gives me plenty of good ideas to try out. The best part of the workshop was the presentation of the latest practical applications of Data Analytics and several hands-on exercises being offered”

Valentine TavaperryOffice of the Commissioners Division, Internal Revenue Commission, Papua New Guinea

Learning Outcomes

Upon completion of this program, participants will:

Intended Audience

Program Level and Pre-requisites for Attending

Foundation level, no pre-requisites

Program Duration

2 days

Number of Attendees

Maximum 17 attendees

Training Methodology

A distinguishing feature of this program is its practical aspect. 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.

It is important to note that a specific module of the program is devoted to creating a real data analytics pilot project, which the participants will be able to use as a blueprint in their teams for a real-life data analytics initiative.

At the start of the course, each participant will receive a USB with a fully configured Virtual Machine that will be used for the practical work throughout the course. Participants will be allowed to keep the Virtual Machine after the course and use the software in their work.

Program Outline

Day 1

Definition and Benefits of Data Analytics in Risk, Control and Audit (RCA)
Organisational Units and Processes Suitable for Data Analytics
The Data Analytics Process
Types of Data Analytics
Group Discussion

Overview
Benefits and Limitations
Planning Standard Data Analytics Tests
Specific Analytical Techniques
Examples of Standard Data Analytics
Practical Work

Overview
Benefits and Disadvantages
Planning for Advanced Data Analytics Engagements
Case Studies and Practical Examples
Practical Work

Day 2

Overview and Characteristics
- Continuous Auditing (CA)
- Business Intelligence (BI)
Benefits and Disadvantages
Planning and Implementation
Group Discussion and Demo

Big Data
- Group Discussion: How do you understand Big Data
- Overview, History and Characteristics
- Big Data Success Stories – Case Studies
- Big Data Sources
- Practical Work
Artificial Intelligence and Machine Learning
- Overview
- Categories and Types of Machine Learning
- Practical Work

Pricing Options

Member	USD	1,616
Non-Member	USD	1,796
Strategic Partner/ADAA Member	USD	1,346

All registrations include: attendance fee; catering – morning, lunch, afternoon; practical exercises; scenario work; course notes; use of Analytics/Big Data/AI software during the course.