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.
Learning Outcomes
Upon completion of this program, participants will:
• Understand the types and benefits of data analytics in Risk, Control and AuditTM
• 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 AuditTM
• 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 AuditTM
Intended Audience
• Chief Risk Officers
• Chief Audit Executives
• External Auditors
• CFOs
• Internal audit directors
• Risk managers
• Internal auditors
• Assurance professionals
• Risk and governance professionals
• Internal audit managers and supervisors
• Finance professionals
• Chief Audit Executives
• External Auditors
• CFOs
• Internal audit directors
• Risk managers
• Internal auditors
• Assurance professionals
• Risk and governance professionals
• Internal audit managers and supervisors
• Finance professionals
Program Outline
Dates : 10 & 11 June 2020
Trainer's Bio |
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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 ntelligence (12 processes/95 reports), Financial Statements production ($800+ revnue), 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 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.
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 ntelligence (12 processes/95 reports), Financial Statements production ($800+ revnue), 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 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.
