Abstract
Motivation: Recent focus on corporate governance (e.g., Sarbanes-Oxley) in the United States and the use of predictive modeling techniques in the property/casualty insurance industry, have raised the profile of data management and data quality issues in the actuarial profession.
Method: Representatives of the Insurance Data Management Association (IDMA) identified seven data management texts they felt would be most helpful for actuaries. Two additional texts were added to fill out the data quality-perspective.
Results: Actuaries reviewed each of the recommended texts from an actuarial perspective.
Conclusions: The working party' hopes that this paper will be a resource for actuaries dealing with data management and/or data quality" issues. By looking at the summary information in the tables of section 4, readers may be able to narrow down candidate books to those that will best meet their needs and then read the specific reviews in section 3.
Volume
Winter
Page
273-306
Year
2007
Categories
Actuarial Applications and Methodologies
Data Management and Information
Actuarial Systems
Actuarial Applications and Methodologies
Data Management and Information
Data Administration, Warehousing and Design
Actuarial Applications and Methodologies
Data Management and Information
Data Collection and Statistical Reporting
Actuarial Applications and Methodologies
Data Management and Information
Data Quality
Publications
Casualty Actuarial Society E-Forum
