为汽车保险公司实现数据挖掘解决方案:协调理论收益与实际考虑

IF 0.7 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
A. C. Yeo, K. Smith
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引用次数: 14

摘要

本案例研究中的保险公司在竞争激烈的环境中运营。近年来,它一直在探索数据挖掘,将其作为一种从其庞大的数据库中提取有价值信息的手段,以改进决策并利用对业务数据的投资。本案例研究描述了对一家匿名的澳大利亚汽车保险公司的数据挖掘的好处的调查。尽管调查能够证明采用数据挖掘方法的量化好处,但在实现数据挖掘方法之前,还有许多实际问题需要解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementing a data mining solution for an automobile insurance company: reconciling theoretical benefits with practical considerations
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. 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.
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来源期刊
Journal of Cases on Information Technology
Journal of Cases on Information Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.60
自引率
0.00%
发文量
64
期刊介绍: JCIT documents comprehensive, real-life cases based on individual, organizational and societal experiences related to the utilization and management of information technology. Cases published in JCIT deal with a wide variety of organizations such as businesses, government organizations, educational institutions, libraries, non-profit organizations. Additionally, cases published in JCIT report not only successful utilization of IT applications, but also failures and mismanagement of IT resources and applications.
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