| Iqm-CMM: Information Quality Management Capability Maturity Model 2010 Edition Contributor(s): Baskarada, Sasa (Author) |
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ISBN: 3834809853 ISBN-13: 9783834809858 Publisher: Vieweg+teubner Verlag OUR PRICE: $104.49 Product Type: Paperback - Other Formats Published: November 2009 |
| Additional Information |
| BISAC Categories: - Computers | Computer Science - Social Science - Computers | Databases - General |
| Dewey: 300 |
| Series: Ausgezeichnete Arbeiten Zur Informationsqualität |
| Physical Information: 0.7" H x 5.8" W x 8.2" (0.95 lbs) 348 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Modern enterprises have recently paid greater attention to data and information as a valuable strategic resource. The vast volumes of data currently being gen- ated as well as governance requirements, such as Sarbanes-Oxley, Basil II and other regulatory mandates, have made it imperative for organisations to pay - tention to the way that they govern and manage their IT resources in general, and data and information in particular. Furthermore, enterprises have realised that information is indeed one of their most valuable and strategic resources, and that through greater aggregation and analysis of data, improved business insight can lead to significantly greater competitive advantages. In this environment, with greater attention to information as a valuable - source and the continued voracious generation of data, information quality init- tives are now emerging as 'must do' projects, to address the questionable quality of information and thus decision making in contemporary enterprises. It is, h- ever, often assumed that a data quality initiative is a 'once-off' activity. Indeed, many organisations have difficulties deciding where to start and how to approach their data quality initiatives. This book provides a detailed guide for organisations to understanding the - sues of data quality as well as a toolset for measuring the data quality maturity and preparedness of their enterprise. This can then lead to a more effective init- tive for improving the level of data quality and thus enhancing the value of their precious information resources. |