Abstract

Data quality management is a pressing issue in the adoption and implementation of Business Intelligence System in every organization. We believe that an extensive metadata infrastructure is the primary technical solution for management of data quality in Business Intelligence. We derived a set of data quality dimensions by carefully examining the data quality management principles and current BI environment. Then, a high-level metadata framework is proposed.

Share

COinS
 

Describing Data Quality Problem through a Metadata Framework

Data quality management is a pressing issue in the adoption and implementation of Business Intelligence System in every organization. We believe that an extensive metadata infrastructure is the primary technical solution for management of data quality in Business Intelligence. We derived a set of data quality dimensions by carefully examining the data quality management principles and current BI environment. Then, a high-level metadata framework is proposed.