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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Challenges of Data Management in Always-On Enterprise Information Systems

Challenges of Data Management in Always-On Enterprise Information Systems
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Author(s): Mladen Varga (University of Zagreb, Croatia)
Copyright: 2010
Pages: 20
Source title: Always-On Enterprise Information Systems for Business Continuance: Technologies for Reliable and Scalable Operations
Source Author(s)/Editor(s): Nijaz Bajgoric (University of Sarajevo, Bosnia and Herzegovina)
DOI: 10.4018/978-1-60566-723-2.ch007

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Abstract

Data management in always-on enterprise information systems is an important function that must be governed, that is, planned, supervised, and controlled. According to Data Management Association, data management is the development, execution, and supervision of plans, policies, programs, and practices that control, protect, deliver, and enhance the value of data and information assets. The challenges of successful data management are numerous and vary from technological to conceptual and managerial. The purpose of this chapter is to consider some of the most challenging aspects of data management, whether they are classified as data continuity aspects (e.g., data availability, data protection, data integrity, data security), data improvement aspects (e.g., coping with data overload and data degradation, data integration, data quality, data ownership/stewardship, data privacy, data visualization) or data management aspect (e.g., data governance), and to consider the means of taking care of them.

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