Utility-driven assessment of data quality

This study presents a methodology for dual assessments of data. Impartial assessment measures the extent to which data is defective. Utility-driven assessments of data quality measure the extent to which the presence of quality defects degrades data utility – the benefit gained from using that data in a specific business setting. The dual assessment methodology is demonstrated in a real-world setting using alumni data – a large data resource for managing alumni relations and initiating pledge campaigns. Dual-assessment results provide important inputs that can direct the implementation and management of quality improvement policies in this data resource.

• Type: Journal
• Year: 2007
• Where: DB
• Authors: Adir Even, Ganesan Shankaranarayanan
• Keywords: Assessment, DB 2007, Degrades Data Utility, Dual Assessment