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Data Protection and BI: A Quality Perspective

Data Protection and BI: A Quality Perspective

Daragh O. Brien
Copyright: © 2019 |Pages: 26
ISBN13: 9781522588979|ISBN10: 1522588973|EISBN13: 9781522588986
DOI: 10.4018/978-1-5225-8897-9.ch078
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MLA

Brien, Daragh O. "Data Protection and BI: A Quality Perspective." Cyber Law, Privacy, and Security: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 1603-1628. https://doi.org/10.4018/978-1-5225-8897-9.ch078

APA

Brien, D. O. (2019). Data Protection and BI: A Quality Perspective. In I. Management Association (Ed.), Cyber Law, Privacy, and Security: Concepts, Methodologies, Tools, and Applications (pp. 1603-1628). IGI Global. https://doi.org/10.4018/978-1-5225-8897-9.ch078

Chicago

Brien, Daragh O. "Data Protection and BI: A Quality Perspective." In Cyber Law, Privacy, and Security: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1603-1628. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8897-9.ch078

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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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