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Data Protection and BI: A Quality Perspective

Data Protection and BI: A Quality Perspective
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Author(s): Daragh O. Brien (Castlebridge Associates, Ireland)
Copyright: 2014
Pages: 25
Source title: Information Quality and Governance for Business Intelligence
Source Author(s)/Editor(s): William Yeoh (Deakin University, Australia), John R. Talburt (University of Arkansas at Little Rock, USA)and Yinle Zhou (IBM Corporation, USA)
DOI: 10.4018/978-1-4666-4892-0.ch021

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Abstract

Data Protection (DP) and Privacy are increasingly important quality characteristics of Information, particularly in the context of Business Intelligence and Big Data. This relationship between Data Protection and Information Quality (IQ) is often poorly understood, and DP itself is often misunderstood as being an issue of security control rather than information governance. This chapter examines the relationship between DP, IQ, and Data Governance (DG). It provides an overview of how techniques and practices from IQ and DG can ensure that BI projects are grounded on appropriate privacy controls that ensure that the right information is being used in the right way by the right people to answer the right questions.

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