Data Analytics: Using data analytics | KPMG | SG

Data Analytics: Using data analytics to optimise audit effectiveness, risk management and business analysis

The St. Regis Singapore, 29 Tanglin Road, Singapore 247911

17 January 2018, 9:00AM - 5:30PM, SGT


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 Highlights

  • 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

Please click here for the detailed course outline. 


Directors and Associate directors from KPMG’s Digital + Innovation, Forensics and IT Assurance practices who have substantial experience in Data analytics.

Who should attend

Internal audit, Information technology, Risk management, Finance and Business analysts, Compliance and Operations professionals, as well as those interested in exploring the use of data analytics to improve business outcomes.


Course fees*

KPMG Client / Alumni: $580 per participant

Public: $650 per participant

*The fee is inclusive of GST at the prevailing rate, course materials, lunch and refreshments. 

Group discount

10% discount applies to three or more participants from the same organisation registering for the course.   


To register online, please click here.



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