Towards Implementing Total Data Quality Management in a Data Warehouse
نویسنده
چکیده
Poor quality of data in a warehouse adversely impacts the usability of the warehouse and managing data quality in a warehouse is very important. In this article we describe a framework for managing data quality in a data warehouse. This framework is of interest to both academics and practitioners as it offers an intuitive approach for not just managing data quality in a data warehouse but also implementing total data quality management. The framework is based on the information product approach. Using this approach it integrates existing metadata in a warehouse with quality-related metadata and proposes a visual representation for communicating data quality to the decision-makers. It allows decision-makers to gauge data quality in context-dependent manner. The representation also helps implement capabilities that are integral components of total data quality management.
منابع مشابه
Open User Involvement in Data Cleaning for Data Warehouse Quality
High quality of data warehouse is a key to make smart strategic decisions. The data cleaning is program that performs to deal with the quality problems of data extracted from operational sources before their loading into data warehouse. As the data cleaning can introduce errors and some data require manually clean, there is a need for an open user involvement in data cleaning for data warehouse...
متن کاملنقص در سیستم اطلاعاتی مانعی بر سر راه استراتژی FOCUS-PDCA
Introduction: Nowadays, tatal quality management is welcomed as the common language and enlightening means of all organizations trying to modify their prior approaches by implementing this management system. However, the in formation systems with all their faults have caused some problems in implementing this high quality system consequently, favourable or considerable results are achieved. Me...
متن کاملA Strategy for Managing Data Quality in Data Warehouse Systems
High level data quality and the management of ensuring data quality is one of the key success factors for Data Warehousing projects. The following article describes an approach for Data Quality Management, which is based on theories as well as practical experiences. Starting from effects of insufficient data quality in practice, a definition for information, data and data quality will be worked...
متن کاملProactive data quality management for data warehouse systems
Data warehousing has captured the attention of practitioners and researchers for a long time, whereas aspects of data quality is one of the crucial issues in data warehousing [ENG99; HEL00]. Still, ensuring high level data quality is one of the most expensive and time-consuming tasks to perform in data warehousing projects [HAE98]. Many data warehouse projects are discontinued due to insufficie...
متن کاملThe Experience of Involved Individuals from the Implementing Challenges of Community-Based Rehabilitation in Iran: A Qualitative Study
Objectives: One of the prominent vital needs for implementing a Community-Based Rehabilitation(CBR) program is correct perception and we know that CBR is linked to several challenges. The current study was performed to identify the challenges of implementing a CBR program in Iran based on the perceptions of the stakeholders. Methods: This study was qualitative conventional content analysis. In...
متن کامل