IQM-CMM: Information Quality Management Capability Maturity Model

2010
ISBN: 978-3-8348-0985-8
Verlag: Vieweg+Teubner Verlag

Buch, Englisch, 348 Seiten, Paperback, Format (B × H): 148 mm x 210 mm, Gewicht: 505 g

Reihe: Ausgezeichnete Arbeiten zur Informationsqualität

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.

Zielgruppe

Researchers and students from the field of information systems as well as practitioners in the fields of data management and data quality.

Autoren/Hrsg.

Baskarada, Sasa

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
• Wirtschaftswissenschaften Betriebswirtschaft Management Qualitätsmanagement, Qualitätssicherung (QS), Total Quality Management (TQM)

Inhaltsverzeichnis

Literature Review.- Research Methodology.- Analysis of Data.- Conclusions.

Über Autor(innen)

Dr. Saša Baškarada completed his doctoral thesis at the Strategic Information Management Laboratory at the University of South Australia.