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Improving the Data Warehouse with Selected Data Quality Techniques: Metadata Management, Data Cleansing and Information Stewardship
| Content Provider | University of Oregon |
|---|---|
| Author | Evans, Brian |
| Abstract | The corporate data warehouse provides strategic information to support decision-making (Kimball, et al., 1998). High quality data may be the most important factor for data warehouse success (Loshin, 2003). This study examines three data management techniques that improve data quality: metadata management, data cleansing, and information stewardship. Content analysis of 14 references, published between 1992 and 2004, results in lists of themes, synonyms, and definitions for each technique, designed for data warehouse analysts and developers. |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Data Metadata management Data cleansing Information stewardship AIM Data management Data warehousing Applied Information Management |
| Content Type | Text |
| Resource Type | Plan |
