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Data quality management in a business intelligence environment : from the lens of metadata

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conference contribution
posted on 2011-01-01, 00:00 authored by Y Verbitskiy, William YeohWilliam Yeoh
Business Intelligence is becoming more pervasive in many large and medium-sized organisations. Being a long term undertaking Business Intelligence raises many issues that an organisation has to deal with in order to improve its decision making processes. Data quality is one of the main issues exposed by Business Intelligence. Within the organisation data quality can affect attitudes to Business Intelligence itself, especially from the business users group. Comprehensive management of data quality is a crucial part of any Business Intelligence endeavour. It is important to address all types of data quality issues and come up with an all-in-one solution. We believe that extensive metadata infrastructure is the primary technical solution for management of data quality in Business Intelligence. Moreover, metadata has a more broad application for improving the Business Intelligence environment. Upon identifying the sources of data quality issues in Business Intelligence we propose a concept of data quality management by means of metadata framework and discuss the recommended solution.



International Conference on Information Quality (16th. 2011 : Adelaide, S. Aust.)


University of South Australia


Adelaide, S. Aust.

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Adelaide, S. Aust.

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E1 Full written paper - refereed

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2011, University of South Australia

Title of proceedings

ICIQ 2011 : Proceedings of 16th International Conference on Information Quality

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