Date and Time:
November 23, 2021 4:00 PM - 6:00 PM
November 24, 2021 4:00 PM - 6:00 PM
November 25, 2021 4:00 PM - 6:00 PM
November 26, 2021 4:00 PM - 6:00 PM
Event Location:
Online, India
Description
This hands-on program aims to give the participants an understanding of the types of data analytics, its benefits and the various standards of data analytics along with their respective limitations.
Throughout the program, there will be Interplay between Forensics and Audit,
Use of Data through the Audit Lifecycle, Technology Trends in Data Analytics as attendees will learn the different types of data analytics Process. The program contains a strong focus on How to drive value from Data Analytics in Internal Audit.
Who should attend?
- Chief Risk Officers
- Chief Audit Executives
- External Auditors
- CFOs
- Internal Directors/Managers/ Supervisors/Auditors
- Risk Managers
- Assurance professionals
- Risk & Governance professionals
Thought Leaders:
- Shashank Karnad
Partner & CEO
Forensic Services- Mahajan & Aibara
- Ganesh Balakrishnan
Audit Talent Lead and Audit Learning & Development Leader
Deloitte in India
- Mohit Gupta
Partner – Governance, Risk, Resilience and Compliance
Mazars in India
Brochure: IA_V1
Event Timelines
23rd November, 2021 04:00 PM – 06:00 PM
Session 1:
• Analytics in the context of IA
o Introduction to Data Science & Analytics
What is analytics
Identify and define key data analysis terms
List common issues regarding data types
Tools overview
Explain necessary preparation to get started on a data analysis project – Typical Process
Strategic Considerations
• People
• Process
• Methodology
• Data Management
• Analytics in the context of IA
o Introduction to Data Science & Analytics
What is analytics
Identify and define key data analysis terms
List common issues regarding data types
Tools overview
Explain necessary preparation to get started on a data analysis project – Typical Process
Strategic Considerations
• People
• Process
• Methodology
• Data Management
24th November, 2021 11:00 AM – 01:00 PM
Sessions 2:
• Use of Data through the Audit Lifecycle
o Identify how data analytics can transform all parts of the audit lifecycle, from planning, risk assessment, execution, reporting, and through to monitoring
o Recognize the data analytics maturity continuum
o Seeing the data in dashboards
• Use of Data through the Audit Lifecycle
o Identify how data analytics can transform all parts of the audit lifecycle, from planning, risk assessment, execution, reporting, and through to monitoring
o Recognize the data analytics maturity continuum
o Seeing the data in dashboards
25th November, 2021 04:00 PM – 06:00 PM
Session 3:
• Process
o The Computer Assisted Auditing Techniques (CAAT)
The integration of CAAT procedures
What information should we provide to IT in order to get the right data
Where are the scripts stored and documents so that other team members can leverage them
What process will be used to validate data quality
How are data analytics integrated throughout the internal audit methodology, including risk assessment; annual audit planning, audit project planning, scoping, fieldwork, and reporting’ issue follow-up and other related activities
• Process
o The Computer Assisted Auditing Techniques (CAAT)
The integration of CAAT procedures
What information should we provide to IT in order to get the right data
Where are the scripts stored and documents so that other team members can leverage them
What process will be used to validate data quality
How are data analytics integrated throughout the internal audit methodology, including risk assessment; annual audit planning, audit project planning, scoping, fieldwork, and reporting’ issue follow-up and other related activities
26th November, 2021 11:00 AM – 01:00 PM
Session 4:
• Interplay between Forensics and Audit
o Implementing pre-incident forensic analysis routines that can be used to assess “What could go wrong”, detect fraud during audit and in leading organisations, on the basis of Continuous Auditing/Continuous monitoring program
o Common analysis to identify red flags
• Interplay between Forensics and Audit
o Implementing pre-incident forensic analysis routines that can be used to assess “What could go wrong”, detect fraud during audit and in leading organisations, on the basis of Continuous Auditing/Continuous monitoring program
o Common analysis to identify red flags
Sorry, Event Expired
