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- W2740486291 endingPage "47" @default.
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- W2740486291 abstract "The insights that firms gain from big data analytics (BDA) in real time is used to direct, automate and optimize the decision making to successfully achieve their organizational goals. Data management (DM) and advance analytics (AA) tools and techniques are some of the key contributors to making BDA possible. This paper aims to investigate the characteristics of BD, processes of data management, AA techniques, applications across sectors and issues that are related to their effective implementation and management within broader context of BDA. A range of recently published literature on the characteristics of BD, DM processes, AA techniques are reviewed to explore their current state, applications, issues and challenges learned from their practice. The finding discusses different characteristics of BD, a framework for BDA using data management processes and AA techniques. It also discusses the opportunities/applications and challenges managers dealing with these technologies face for gaining competitive advantages in businesses. The study findings are intended to assist academicians and managers in effectively quantifying the data available in an organization into BD by understanding its properties, understanding the emerging technologies, applications and issues behind BDA implementation." @default.
- W2740486291 created "2017-08-08" @default.
- W2740486291 creator A5018567792 @default.
- W2740486291 date "2017-10-01" @default.
- W2740486291 modified "2023-10-03" @default.
- W2740486291 title "Big Data and Advance Analytics: Architecture, Techniques, Applications, and Challenges" @default.
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