Abstract
Data Quality (narrow topic or advanced); We live in the era of information: an enormous amount of information. Information gets collected, stored, processed, summarized and distributed; there are too many opportunities for errors to sneak in. Data is translated, transformed and aggregated so often, that it is inevitable that some results of the data processing are imprecise.
We may experience this data infidelity elsewhere every day. Once in a while, some bank counts every withdrawal twice, some airline issues two tickets for the same reserved seat and some healthcare provider goes broke due to errors in its financial reports. And we are yet to witness the consequences of the "Year 2000 bug".
The actuarial field can not escape the effects of data errors, either. For example, the NCCI has to restate published LDF's every year due to errors/restatements in the summaries from information providers.
Volume
Winter
Page
239-254
Year
1999
Categories
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 Organization
Actuarial Applications and Methodologies
Data Management and Information
Data Quality
Actuarial Applications and Methodologies
Data Management and Information
Data Reconciliation
Publications
Casualty Actuarial Society E-Forum
Documents
