ANALYTICS EDUCATION FORUM 2016
Analytics Education Forum 2016
Research* has consistently shown that analytics is the most significant trend in businesses today. However, a majority also confess that they do not have enough experience and knowledge in applying analytics to business problems.
Are you letting your data work for you? Are you applying analytics effectively to your business to make key decisions?
Proudly into its seventh run, the Analytics Education Forum 2016 is jointly organized bySift Analytics Group and SIM University. Come and find out from the graduating student projects showcasing how data mining and text mining can be applied to recognize subtle patterns and trends, anticipate outcomes, take timely corrective action, and in return, enhance organization performance.
* Next-Generation Predictive Analytics, Ventana Research, June 2015
by Associate Professor Lee Pui Mun, Dean, School of Business, SIM University
Business Analytics: A Practitioner’s Perspective
|9.40am||Student Showcase 1
Automatic Retrievals of X-Y Coordinates of Test Pads on Printed Circuit Boards
This project applies Cluster Analysis on circuit board image data so as to retrieve X-Y coordinates of test pads on printed circuit boards---an essential step to speed up reverse engineering process prior to using the automated test equipment for circuit board maintenance.
|10.05am||Tea Break and Poster Sessions|
|10.45am||Student Showcase 2
A New Approach to Customer Churn Profile Analysis and Characterizations
This project uses visualisation to gain actionable insight into customer purchasing behaviours. These insights help in the formulation of marketing strategies in order to better retain customers who are likely to churn.
|11.10am||Student Showcase 3
Text Mining on Online Feedback and Enquiries to Improve Service Delivery
This project uses the IBM Text Analytics application to analyse email enquiries received by the organisation. The key issues derived from the analysis will help the organisation improve their service delivery by understanding the needs of their customers.
Student Showcase 4
|12.00pm||Closing & Thank You Speech|
|12.30pm||End of Event|