Learn At Lunch: Auditing Analytics

Event Code:
LAL201911
CPE Hours:
1
Event Start Date:
Event End Date:
Time:
12.00 PM - 12.30 PM for Lunch. 12.30 PM - 1.30 PM for the Talk
Registration Deadline :
Venue:

IIA Singapore's Office
137 Telok Ayer Street
#04-03, Singapore 068602

Early Bird Deadline:
Lunch Provided:
Yes
Tea Break:
Event Overview:

Synopsis

The twin impact of the advances in technology and developments in data mining on auditing is not trivial. The automation of operations and digitalisation of data have changed the collection and storage of data, as well as the nature of data. While descriptive analytics (visualisation and dashboards) is now common in auditing, the potential application of diagnostic and predictive analytics in auditing cannot be ignored. Data mining has provided valuable additions to the auditor’s toolbox – beyond statistics (such as audit sampling or regression analysis).

This talk explores the intersection of technology, data mining and auditing. While data mining (or data analytics) has frequently been touted as the future of auditing, there is still a lack for clarity in the area. With a focus on internal auditing, and through illustrations using visualisation, association and clustering, as well as predictive modelling, the talk provides participants with perspectives of data mining and its potential application in auditing – using an intuitive and non-mathematical approach.

 

About the Speaker

Prof. Koh

Prof. Koh Hian Chye

Professor Koh Hian Chye is currently Head of the Business Intelligence & Analytics Centre at the Singapore University of Social Sciences. His main research and teaching interests are in data mining, business analytics and learning analytics. He has published widely in international journals and conferences, and has served as a statistical and data mining consultant to several organisations.

Early Bird Fees:
Standard Fees:

Fees: S$20 for members and S$40 for non-members (light lunch will be included).


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