Workshop - Applied Data Analytics in Risk, Control and Audit

Starts:  Sep 26, 2019 08:30 (SG)
Ends:  Sep 27, 2019 17:30 (SG)
Associated with  Singapore Chapter

Program overview

This hands-on program aims to give the participants an understanding of 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.

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Learning outcomes

Upon completion of this program, participants will:

  • Understand the types and benefits of data analytics in Risk, Control and Audit
  • Implement and follow a data analytics process
  • Design standard and advanced data analytics using spreadsheets, specialized software and relational databases
  • Understand Continuous Auditing (CA) and Business Intelligence (BI) as part of advanced data analytics
  • Recognise opportunities for Big Data and Artificial Intelligence (AI) in Risk, Control and Audit

Intended Audience

  • Chief Risk Officers
  • Chief Audit Executives
  • External Auditors
  • CFOs
  • Internal Directors/Managers/ Supervisors/Auditors
  • Risk Managers
  • Assurance professionals
  • Risk & Governance professionals


Level of the Program and Pre-requisites

Foundation level, no pre-requisites

Class Size
17 pax

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/ Agenda

Day 1 Introduction
The Data Analytics Rationale

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

The Data Analytics Rationale

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

Standard Data Analytics in RCA

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

Advanced-Data Analytics in RCA – 1

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

Day 2

Advanced-Data Analytics in RCA – II

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

“State of the Art” Data Analytics in RCA

  • 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 Machines Learning
    • Practical Work

Success Factors and Stumbling Blocks

Scenario Work: Putting It All Together

Program Review, Q&A, Comments

Trainer Details

Mario Bojilov - MEngSc (Research), Certified Information Systems Auditor (CISA), Graduate Diploma Applied Finance and Investment, PhD Candidate

Mario has worked in the area of Data Analytics and Business Improvement since 1994. He is also a Certified Information Systems Auditor (CISA) and a Lecturer in Accounting Information Systems; IS Control and Governance; Enterprise Resource Planning; Systems Analysis and Design. 

Over the last 12 years, Mario Bojilov has taught 1,500+ university students and 350+ professionals in the areas of Finance, Digital Technologies, Risk and Audit. He has delivered industry training courses and presentations in Australia, Dubai, Abu Dhabi, Singapore, Malaysia, Brunei, Thailand and the Philippines.

Mario founded Meta Business Systems in 2004 of which he is the current Chief Executive Officer. The company is focused on business improvement, performance monitoring and data governance. A number of Government and Higher Education organisations have used solutions designed and implemented by Meta Business Systems.

Projects managed and delivered by Mario Bojilov and his team covered a variety of key business processes, such as Payroll, Finance, Procurement, Revenue Management, Treasury, HR and others. Examples of projects include Data Warehouse/Business Intelligence (12 processes/95 reports), Financial Statements production ($800+ revenue), Payroll monitoring (12,000 employees), Revenue verification, Fraud Detection, etc.

Mario Bojilov holds a Master of Engineering Science Degree from the University of Queensland, a Graduate Diploma of Applied Finance and Investment from the Financial Services Institute of Australasia (FINSIA) and is currently a PhD Candidate with a research topic in the area of Using Artificial Intelligence for Cybercrime Detection.

Mario Bojilov has co-authored the following academic articles: Privacy and Big Data and Continuous Auditing and Continuous Monitoring in ERP Environments: Case Studies of Application Implementations. He is also a contributor to Medium - https://medium.com/@Mario.Bojilov and hosts a channel - https://goo.gl/ujS8ky on YouTube.

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 Industry

“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)
Seychelles Civil Aviation Authority

“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 Tavaperry
Office of the Commissioners Division
Internal Revenue Commission, Papua New Guinea

I would like to take this time to thank you for the 2 Days Training on “DATA ANALYTICS”.
It was very interesting to know and understand how Data Analytics can be used. I used to think that Data Analytics is more related to Information Technology and those who have studied IT may be the experts in using Data Analytics, but now my mind has been shifted.
It is possible for me who have studied Accounting to use and appreciate the use of Technology and to apply Data Analytics to my field of work and other endeavours that I may want to venture in the future.
Mrs. SEVESE NARO TAGOI
Audit Officer | Group Risk Management
Bank of South Pacific Limited

Really appreciate the training, as I have gained more insight into data analytics, especially with the visualization part.
I am the primary support for ACL in our Internal Audit team, and I have to say that this training has opened the minds of my fellow auditors to the kind of task I have to perform using ACL and Excel to produce the information they require to conduct their Audits efficiently and effectively.
I really appreciate the training as it has broadened my understanding on how to present the
information produced through analytics by considering the audience. Once again thank you for your time and for sharing knowledge with us!
Yauwe Dick Norifo
IT Audit Officer | Internal Audit
GROUP RISK MANAGEMENT UNIT
Bank of South Pacific Limited

My name is Amon Vele from Papua New Guinea and I attended the 2 days course (Applied Data
Analytics in Risk, Control and Audit) facilitated by Mario Bojilov.
It was a very interesting course and it will surely add value to my profession as an internal auditor. Mr Bojilov's interaction with the participants during the course was great. It was a privilege to meet, share experiences and discuss issues with this highly qualified and experienced professional.
Thank you!
Mr. Amon Vele
Internal Audit Branch
Internal Audit & Compliance Division
Department of Finance, Papua New Guinea

Program Fee*

  • ISACA Member - S$ 1250
*Note - Registration is managed by Meta Business Systems (MBSys). In case of event cancellation, MBSys will manage the refund and ISACA Singapore chapter is merely supporting by promoting the workshop to its members.

Food/snacks arrangement

Lunch and refreshments will be provided

past_event

Location

Intercontinental Robertson Quay
1 Nanson Rd, Singapore 238909
Singapore

Contact