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Challenges of Data Management in Always-On Enterprise Information Systems

Data management in always-on enterprise information systems is an important function that must be governed, i.e. 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.

data management, data continuity, data availability, data protection, data integrity, data security, data improvement, data overload, data degradation, data integration, data quality, data ownership/stewardship, data privacy, data visualization, data governance

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