Managerial Perspectives on Intelligent Big Data Analytics

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Release : 2019-02-22
Genre : Computers
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Book Rating : 783/5 ( reviews)

Managerial Perspectives on Intelligent Big Data Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Managerial Perspectives on Intelligent Big Data Analytics write by Sun, Zhaohao. This book was released on 2019-02-22. Managerial Perspectives on Intelligent Big Data Analytics available in PDF, EPUB and Kindle. Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.

Business Intelligence Strategy and Big Data Analytics

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Release : 2016-04-08
Genre : Computers
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Book Rating : 893/5 ( reviews)

Business Intelligence Strategy and Big Data Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Business Intelligence Strategy and Big Data Analytics write by Steve Williams. This book was released on 2016-04-08. Business Intelligence Strategy and Big Data Analytics available in PDF, EPUB and Kindle. Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like “big data and “big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. Provides ideas for improving the business performance of one’s company or business functions Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans

Big Data Analytics and Intelligence

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Release : 2020-09-30
Genre : Business & Economics
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Book Rating : 995/5 ( reviews)

Big Data Analytics and Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Analytics and Intelligence write by Poonam Tanwar. This book was released on 2020-09-30. Big Data Analytics and Intelligence available in PDF, EPUB and Kindle. 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.

Business Intelligence

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Release : 2013-12-23
Genre : Business & Economics
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Book Rating : 622/5 ( reviews)

Business Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Business Intelligence write by Ramesh Sharda. This book was released on 2013-12-23. Business Intelligence available in PDF, EPUB and Kindle. This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides a solid foundation of BI that is reinforced with hands-on practice.

Big Data Analytics: A Management Perspective

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Release : 2016-05-24
Genre : Technology & Engineering
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Book Rating : 920/5 ( reviews)

Big Data Analytics: A Management Perspective - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Analytics: A Management Perspective write by Francesco Corea. This book was released on 2016-05-24. Big Data Analytics: A Management Perspective available in PDF, EPUB and Kindle. This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more general - such as ethics, privacy, and ownership – while others concern more specific business situations (e.g., initial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and understanding their personalities will be provided. Finally, few relevant technological future trends will be acknowledged (i.e., IoT, Artificial intelligence, blockchain, etc.), especially for their close relation with the increasing amount of data and our ability to analyse them faster and more effectively.