Using Aspects of Data Governance Frameworks to Manage Big Data as an Asset
| dc.contributor.author | Chamberlain, Allen | |
| dc.date.accessioned | 2016-03-10T22:50:00Z | |
| dc.date.available | 2016-03-10T22:50:00Z | |
| dc.date.issued | 2013-07 | |
| dc.description | 93 pages | en_US |
| dc.description.abstract | The emergence of big data has transformed how organizations realize the benefits of large datasets. This annotated bibliography examines how data governance frameworks may enable organizations to more effectively implement big data systems and maximize the rewards. Literature published from 2004 to 2013 is reviewed and key aspects of big data governance systems are identified. Aspects are aligned within a set of five domains (Khatri & Brown, 2010) to guide effective data governance. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1794/19745 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | University of Oregon | en_US |
| dc.relation.ispartofseries | Aim Capstone;2013 | |
| dc.rights | Creative Commons BY-NC-ND 4.0-US | en_US |
| dc.subject | Data governance | en_US |
| dc.subject | Big data | en_US |
| dc.subject | Data quality management | en_US |
| dc.subject | Data lifecycle management | en_US |
| dc.subject | Analytics | en |
| dc.title | Using Aspects of Data Governance Frameworks to Manage Big Data as an Asset | en_US |
| dc.type | Thesis / Dissertation | en_US |