Course Detail(DGT009ET : Using data analytics to enhance audit effectiveness, risk management and business analysis)

DGT009ET : Using data analytics to enhance audit effectiveness, risk management and business analysis

7.00 CPE Hours (Others)
Classroom


Programme Objective
 
With the growing reliance on technology, huge amounts of data are generated by organisations every day. With the right analysis, this data can tell a story about an organisation and its transactions, processes, controls, vendors, customers and more.
 
The effective use of data analytics can substantially assist teams to uncover valuable insights that could transform the organisation, and help to manage business risks.
 
This course will delve into the technical skills needed to help you better inspect, clean, transform, and model data to discover meaningful patterns, highlight useful information, and monitor against specified risk criteria.
 
Course objectives

  • Learn about the emerging trends in data analytics and KPMG’s data analytics methodology
  • Deep dive into data analytics and visualisation techniques using hands-on exercises
  • Learn how to apply data analytics to help manage your organisation's risks
  • Transform huge data repositories into valuable business information to improve business operations

Programme Outline

 

TopicContent overview
Embracing technology
  • Major themes from KPMG/Forbes Insight Survey, Audit 2025: The future is now
Introduction to data analytics
  • Benefits of data analysis
  • The market perspective
  • Business intelligence ecosystem
  • KPMG’s data analytics methodology
Preliminary assessment and planning
  • Identify your data analytics team structure
  • Work plan development
  • Project management
Data collection and pre-processing
  • Scoping and data requests
  • Data extraction and security
  • Loading, validation and preparation
Data analysis
  • Work plan review and analysis roadmap
  • Data analytics techniques
  • Quality control and prioritising results
Data visualisation and
reporting
  • Selecting an appropriate report format
  • Recommendations based on data analytics results
  • Data visualisation techniques
 
Training Methodology
 
Interactive classroom format, with case studies and exercises.
 
Closing Date for Registration

1 week before programme or until full enrolment

Intended For

Internal audit, IT assurance, risk management, finance, and operations professionals, as well as those interested in exploring the use of data analytics to improve business outcomes

Competency Mapping

Others = 7.00 Hours

Schedule & Fees

Date & Time

02 Oct 2018 (9:00 AM - 5:00 PM)

Registration is closed

Programme Facilitator(s)

Team of Professional (DGT009ET)

Date & Time

17 May 2018 (9:00 AM - 5:00 PM)

Registration is closed

Programme Facilitator(s)

Team of Professional (DGT009ET)

Date & Time

17 Jan 2018 (9:00 AM - 5:00 PM)

Registration is closed

Programme Facilitator(s)

Team of Professional (DGT009ET)

Testimonial

Funding

No funding Available!

Programme Facilitator(s)


Feng Yuzhang
Associate Director, Digital + Innovation
KPMG in Singapore
 
Yuzhang is an Associate Director in the Digital + Innovation team with KPMG in Singapore and leads the advanced analytics team.
 
A PhD holder in Knowledge Engineering, Yuzhang specialises in advanced analytical techniques and approaches. With over 12 years of experience with various organisations, he has been the technical lead for many advanced analytics projects in the area of fraud detection and anti-money laundering for large enterprise clients in both the public and private sectors.
 
Eric Poh Director,
Forensic KPMG in Singapore
 
Eric is a Director at KPMG’s Forensic practice, and specialises in forensic investigation and forensic data analytics. He is currently leading the Forensic Data Analytics team in KPMG.
In his 12 years of service with KPMG, Eric has worked on several forensic investigation cases, including cross-borders investigations. While Eric started his career specialising in fraud investigations, he is also active in forensic data analytics and has helped several companies to implement data analytics as part of the company’s fraud detection tool.
 
He is also   an   associate   member   in   the   Association   of   Certified   Fraud Examiners.
 
Paul Freeborn
Director, IT Assurance Services KPMG in Singapore
 
Paul  is  a  Director  in  the  IT  Assurance  Services  practice  with  KPMG  in Singapore.  He has more than 25 years of experience in the fields of IT audit,   IT   security,   financial   audit,   accounting,   internal   audit   and compliance.
 
Paul  specialises  in  business  process  analysis  and  controls  design,  data analytics  and  IT  internal  audit.  He is also responsible for developing KPMG’s Data Analytics service capabilities for internal audit clients.
 
Paul has worked with KPMG in Australia (financial audit, IT audit), the UK (IT  audit,  project  management,  SOX  404)  and  Singapore  (IT  audit,  IT security,   software  compliance).  He recently re-joined   KPMG  after  a number of years with Sony in both Internal Audit and Compliance roles.
 


Programme Objective
 
With the growing reliance on technology, huge amounts of data are generated by organisations every day. With the right analysis, this data can tell a story about an organisation and its transactions, processes, controls, vendors, customers and more.
 
The effective use of data analytics can substantially assist teams to uncover valuable insights that could transform the organisation, and help to manage business risks.
 
This course will delve into the technical skills needed to help you better inspect, clean, transform, and model data to discover meaningful patterns, highlight useful information, and monitor against specified risk criteria.
 
Course objectives

  • Learn about the emerging trends in data analytics and KPMG’s data analytics methodology
  • Deep dive into data analytics and visualisation techniques using hands-on exercises
  • Learn how to apply data analytics to help manage your organisation's risks
  • Transform huge data repositories into valuable business information to improve business operations

Programme Outline

 

TopicContent overview
Embracing technology
  • Major themes from KPMG/Forbes Insight Survey, Audit 2025: The future is now
Introduction to data analytics
  • Benefits of data analysis
  • The market perspective
  • Business intelligence ecosystem
  • KPMG’s data analytics methodology
Preliminary assessment and planning
  • Identify your data analytics team structure
  • Work plan development
  • Project management
Data collection and pre-processing
  • Scoping and data requests
  • Data extraction and security
  • Loading, validation and preparation
Data analysis
  • Work plan review and analysis roadmap
  • Data analytics techniques
  • Quality control and prioritising results
Data visualisation and
reporting
  • Selecting an appropriate report format
  • Recommendations based on data analytics results
  • Data visualisation techniques
 
Training Methodology
 
Interactive classroom format, with case studies and exercises.
 
Closing Date for Registration

1 week before programme or until full enrolment

Intended For

Internal audit, IT assurance, risk management, finance, and operations professionals, as well as those interested in exploring the use of data analytics to improve business outcomes

Competency Mapping

Others = 7.00 Hours

Programme Facilitator(s)

Feng Yuzhang
Associate Director, Digital + Innovation
KPMG in Singapore
 
Yuzhang is an Associate Director in the Digital + Innovation team with KPMG in Singapore and leads the advanced analytics team.
 
A PhD holder in Knowledge Engineering, Yuzhang specialises in advanced analytical techniques and approaches. With over 12 years of experience with various organisations, he has been the technical lead for many advanced analytics projects in the area of fraud detection and anti-money laundering for large enterprise clients in both the public and private sectors.
 
Eric Poh Director,
Forensic KPMG in Singapore
 
Eric is a Director at KPMG’s Forensic practice, and specialises in forensic investigation and forensic data analytics. He is currently leading the Forensic Data Analytics team in KPMG.
In his 12 years of service with KPMG, Eric has worked on several forensic investigation cases, including cross-borders investigations. While Eric started his career specialising in fraud investigations, he is also active in forensic data analytics and has helped several companies to implement data analytics as part of the company’s fraud detection tool.
 
He is also   an   associate   member   in   the   Association   of   Certified   Fraud Examiners.
 
Paul Freeborn
Director, IT Assurance Services KPMG in Singapore
 
Paul  is  a  Director  in  the  IT  Assurance  Services  practice  with  KPMG  in Singapore.  He has more than 25 years of experience in the fields of IT audit,   IT   security,   financial   audit,   accounting,   internal   audit   and compliance.
 
Paul  specialises  in  business  process  analysis  and  controls  design,  data analytics  and  IT  internal  audit.  He is also responsible for developing KPMG’s Data Analytics service capabilities for internal audit clients.
 
Paul has worked with KPMG in Australia (financial audit, IT audit), the UK (IT  audit,  project  management,  SOX  404)  and  Singapore  (IT  audit,  IT security,   software  compliance).  He recently re-joined   KPMG  after  a number of years with Sony in both Internal Audit and Compliance roles.
 

Upcoming Schedule

Registration is closed

Date & Time

02 Oct 2018 (9:00 AM - 5:00 PM)

Fee (inclusive of GST)

For Members: $ 580.00
For Non-Members: $ 650.00

Programme Facilitator(s)

Team of Professional (DGT009ET)

Venue

29 Tanglin Road
The St. Regis Singapore
Singapore 247911