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Businesses are collecting massive amounts of data every day as a
way to better understand their processes, competition, and the
markets they serve. This data can be used to increase
organizational productivity and performance; however, is essential
that organizations collecting large data sets have the tools
available to them to fully understand the data they are collecting.
Organizational Productivity and Performance Measurements Using
Predictive Modeling and Analytics takes a critical look at methods
for enhancing an organization's operations and day-to-day
activities through the effective use of data. Focusing on a variety
of applications of predictive analytics within organizations of all
types, this critical publication is an essential resource for
business managers, data scientists, graduate-level students, and
researchers.
Big data analytics utilizes a wide range of software and analytical
tools to provide immediate, relevant information for efficient
decision-making. Companies are recognizing the immense potential of
BDA, but ensuring the data is appropriate and error-free is the
largest hurdle in implementing BDA applications. The Handbook of
Research on Organizational Transformations through Big Data
Analytics not only catalogues the existing platforms and
technologies, it explores new trends within the field of big data
analytics (BDA). Containing new and existing research materials and
insights on the various approaches to BDA; this publication is
intended for researchers, IT professionals, and CIOs interested in
the best ways to implement BDA applications and technologies.
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