SPSS Analytics Partner | Case Study – University of Western Sydney

Case Study – University of Western Sydney

Solution Components

  • IBM SPSS Modeler
  • IBM SPSS Data Collection
  • IBM SPSS Statistics
  • IBM SPSS Collaboration and Deployment Services
  • IBM Analytical Decision Management

The IBM Lab Services team made a key contribution to this project. Their dedication really made the difference in helping us ensure that the implementation was successful, and in helping us get the most out of the IBM SPSS technologies.

Stephen Butcher, Senior Manager in the Information & Analysis Unit, University of Western Sydney

University of Western Sydney learns the secrets of student retention

Harnessing predictive analytics to understand and address the key causes of student attrition



The University of Western Sydney (UWS) is a comprehensive public university with six campuses in the Greater Western Sydney region. With approximately 3,000 staff and 42,000 students, it has a comprehensive course profile including natural and physical sciences, humanities, medicine, law and other vocational and professional qualifications. UWS is also home to a vibrant research community, with four research institutes and seven research centers.


Business need

UWS wants to ensure that as many of its students as possible reach graduation – helping them achieving their academic goals, and protecting its own finances. Student attrition is one of the biggest threats to this objective.


To reduce the risk of attrition, UWS is using analytics to predict when a student is likely to leave, assess the cause, and trigger appropriate interventions to encourage them to stay.


New insight into the factors behind student attrition enables UWS to design more effective retention strategies. UWS is creating an end-to-end service where data is automatically collected, analyzed, and used to recommend the best course of action. Reducing attrition rates could deliver millions of dollars in benefits by protecting the university from the loss of income when students leave.

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