The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Implementing a Data Mining Solution for an Automobile Insurance Company: Reconciling Theoretical Benefits with Practical Considerations
Abstract
The insurance company in this case study operates in a highly competitive environment. In recent years it has explored data mining as a means of extracting valuable information from its huge databases in order to improve decision making and capitalise on the investment in business data. This case study describes an investigation into the benefits of data mining for an anonymous Australian automobile insurance company.1 Although the investigation was able to demonstrate quantitative benefits of adopting a data mining approach, there are many practical issues that need to be resolved before the data mining approach can be implemented.
Related Content
Tereza Raquel Merlo, Nayana Madali M. Pampapura, Jason M. Merlo.
© 2024.
14 pages.
|
Kris Swen Helge.
© 2024.
9 pages.
|
Ahmad Tasnim Siddiqui, Gulshaira Banu Jahangeer, Amjath Fareeth Basha.
© 2024.
12 pages.
|
Jennie Lee Khun.
© 2024.
19 pages.
|
Tereza Raquel Merlo.
© 2024.
19 pages.
|
Akash Bag, Paridhi Sharma, Pranjal Khare, Souvik Roy.
© 2024.
31 pages.
|
Akash Bag, Upasana Khattri, Aditya Agrawal, Souvik Roy.
© 2024.
28 pages.
|
|
|