Identifying and Prioritizing Information Quality Dimensions for Assurance in the Pre- Processing Stage of Data Storage for Business Intelligence
| dc.contributor.author | Angel, Hope | |
| dc.date.accessioned | 2011-07-06T16:08:51Z | |
| dc.date.available | 2011-07-06T16:08:51Z | |
| dc.date.issued | 2011-07-06 | |
| dc.description | This paper was completed as part of the final research component in the University of Oregon Applied Information Management Master's Degree Program [see htpp://aim.uoregon.edu]. | en_US |
| dc.description.abstract | As business intelligence systems increase the amount of information stored in data warehouses, quality of content becomes more critical (Fisher, Lauria, Chengalur-Smith, & Wang, 2008). Selected literature published between 2001 and 2011 is analyzed to define key dimensions of information quality for consideration in the pre-processing stage, before data reach the warehouse, to ensure maximum quality assurance. The goal is to provide a framework to prioritize dimensions that align with business intelligence goals and objectives. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1794/11384 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | AIM Capstone 2011;Hope Angel | |
| dc.subject | Data mining | en_US |
| dc.subject | Business intelligence | |
| dc.subject | Information quality | |
| dc.subject | Information quality assurance | |
| dc.subject | Competitive advantage | |
| dc.subject | Knowledge discovery | |
| dc.subject | Data analytics | |
| dc.subject | Data warehousing | |
| dc.subject | Applied Information Management | |
| dc.subject | AIM | |
| dc.subject | Data | |
| dc.title | Identifying and Prioritizing Information Quality Dimensions for Assurance in the Pre- Processing Stage of Data Storage for Business Intelligence | en_US |
| dc.type | Other | en_US |