Predicting Policyholder Behavior and Benefit Utilization: An Analysis on Long-Term Care Insurance

In order to better serve their customers, a project to create a methodology for identifying variables that could indicate future long-term care insurance usage was commissioned by Ability Resources, Inc. As a basis for constructing a predictive model, tools such as SAS and Excel were implemented. A k-means clustering algorithm in SAS was utilized to group policyholders with similar characteristics, and a performance evaluation was executed in Excel. Together, these processes created a tool that determined the impact each characteristic had on policyholder benefit utilization. The validity of the process was assessed by applying it to supplemental data generated by the team. After several trials, the Variable Identification Procedure proved accurate

An Assessment of Fire Safety in Australia’s International Student Housing

An assessment of international student awareness in fire safety issues with respect to their housing in Australia was performed by this project, which was commissioned by the Australasian Fire and Emergency Services Authorities Council. As a basis to characterize this situation, pieces of fire safety legislation, education materials, and techniques for multicultural pedagogy were gathered and analyzed. A survey was administered to collect data from a representative population of students throughout Australia. Lapses in fire safety knowledge and compliance made apparent through the research were addressed in FireAway, an education plan, and legislative recommendations