An Exploratory Study On Using Stage Theory To Develop A Data Management Measurement Framework

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Angela Mattia

Keywords

Data Management, Data Measurement, Stage Model, Data Governance, Data Management Phases

Abstract

The issue of interest in this study is two-fold. First the evolution of Nolan’s Stage Model is presented. Next, the study discusses adapting Nolan’s stage theory into a framework that is an adaptable data management measurement tool. An exploratory measurement tool is developed, tested and refined. This research confirms that a valid measure is possible and that different data management maturity stages have certain characteristics that are important to the emerging knowledge necessary to manage enterprise-wide data as a valuable business resource.

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