Big Data Analytics and Intelligence

Big Data Analytics and Intelligence
Author: Poonam Tanwar
Publisher: Emerald Group Publishing
Total Pages: 392
Release: 2020-09-30
Genre: Business & Economics
ISBN: 1839090995


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Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.


Big Data Analytics and Intelligence
Language: en
Pages: 392
Authors: Poonam Tanwar
Categories: Business & Economics
Type: BOOK - Published: 2020-09-30 - Publisher: Emerald Group Publishing

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Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet
Big Data Governance and Perspectives in Knowledge Management
Language: en
Pages: 320
Authors: Strydom, Sheryl Kruger
Categories: Computers
Type: BOOK - Published: 2018-11-16 - Publisher: IGI Global

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The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous poten
Digital Transformation in Business and Society
Language: en
Pages: 306
Authors: Babu George
Categories: Business & Economics
Type: BOOK - Published: 2019-10-04 - Publisher: Springer Nature

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The digital traces that people leave behind as they conduct their daily lives provide a powerful resource for businesses to better understand the dynamics of an
Management Decision-Making, Big Data and Analytics
Language: en
Pages: 354
Authors: Simone Gressel
Categories: Business & Economics
Type: BOOK - Published: 2020-10-12 - Publisher: SAGE

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Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help manag
New Horizons for a Data-Driven Economy
Language: en
Pages: 312
Authors: José María Cavanillas
Categories: Computers
Type: BOOK - Published: 2016-04-04 - Publisher: Springer

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In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They