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.
Recommended Citation
Yeoh, William; Wang, Te-Wei; and Verbitskiy, Yuriy, "Describing Data Quality Problem through a Metadata Framework" (2012). AMCIS 2012 Proceedings. 9.
https://aisel.aisnet.org/amcis2012/proceedings/DataInfoQuality/9
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.