Abstract
Data Quality (general or introductory); Written by a world expert in data resources, Data Resource Quality features the ten most fundamental and frequently exhibited bad habits that contribute to poor data quality, and presents the strategies and best practices for effective solutions. With this information, IT managers will be better equipped to implement an organization-wide, integrated, subject-oriented data architecture and within that architecture build a high-quality data resource. The result: reduced data disparity and duplication, increased productivity, and improved data understanding and utilization
Year
2000
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
Data Resource Quality: Turning Bad Habits Into Good Practices
