Business Analytics Applications and Issues

Synopsis

ANL310 Business Analytics Applications and Issues aims to equip students with the knowledge of various applications of business analytics in different industries. The course covers data mining applications used specifically in various industries, including fault detection in manufacturing sector, cross-selling and up-selling for service providers (for e.g., telecommunication) and customer loyalty, retention and churn in the retail sector. Towards the end of the course, issues in deployment of data mining models are also discussed.

Level: 3
Credit Units: 5
Presentation Pattern: EVERY JAN

Topics

Fraud Detection
Target Marketing
Model Latency
Oversampling
Product Bundling
Customer Segmentation
Churn Modeling
Deployment: Association versus Causality
Conditions for Causality
Placebo, Nocebo and Others
Alternative Explanations
Deployment Issues

Learning Outcome

Compare the different modelling techniques used in different industries
Describe the different data mining application used in different industries
Discuss issues related to the deployment of data mining models.
Evaluate the application of business analytics in different industries
Recommend the appropriate analytics techniques to derive useful information to support decision-making for a variety of business problems
Critique the application of business analytics in different industries

Full-time Programmes Part-time Programmes / CET Courses

Singapore University of Social Sciences

Business Analytics Applications and Issues