Managerial Perspectives On Intelligent Big Data Analytics


Managerial Perspectives On Intelligent Big Data Analytics
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Managerial Perspectives On Intelligent Big Data Analytics


Managerial Perspectives On Intelligent Big Data Analytics
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Author : Sun, Zhaohao
language : en
Publisher: IGI Global
Release Date : 2019-02-22

Managerial Perspectives On Intelligent Big Data Analytics written by Sun, Zhaohao and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-22 with Computers categories.


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 Analytics And Data Science


Business Intelligence Analytics And Data Science
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Author : Ramesh Sharda
language : en
Publisher: Pearson
Release Date : 2016-12-12

Business Intelligence Analytics And Data Science written by Ramesh Sharda and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Business & Economics categories.


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. For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.



Business Intelligence


Business Intelligence
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Author : Ramesh Sharda
language : en
Publisher: Pearson Higher Ed
Release Date : 2013-12-23

Business Intelligence written by Ramesh Sharda and has been published by Pearson Higher Ed this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-23 with Business & Economics categories.


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.



Business Intelligence


Business Intelligence
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Author : Ramesh Sharda
language : en
Publisher: Pearson
Release Date : 2017-01-13

Business Intelligence written by Ramesh Sharda and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-13 with Business & Economics categories.


For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.



Business Intelligence Analytics And Data Science


Business Intelligence Analytics And Data Science
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Author : Ramesh Sharda
language : en
Publisher:
Release Date : 2019

Business Intelligence Analytics And Data Science written by Ramesh Sharda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Business intelligence categories.


This book is for courses on Business Intelligence or Decision Support Systems. It provides a managerial approach to understanding business intelligence systems. It is meant to help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice. -- Provided by publisher.



Business Intelligence Analytics And Data Science


Business Intelligence Analytics And Data Science
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Author : Ramesh Sharda
language : en
Publisher:
Release Date : 2017-10-13

Business Intelligence Analytics And Data Science written by Ramesh Sharda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-13 with categories.


For courses on Business Intelligence or Decision Support Systems.A managerial approach to understanding business intelligence systems.To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.



Big Data Analytics A Management Perspective


Big Data Analytics A Management Perspective
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Author : Francesco Corea
language : en
Publisher: Springer
Release Date : 2016-05-24

Big Data Analytics A Management Perspective written by Francesco Corea and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-24 with Technology & Engineering categories.


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.



Management Decision Making Big Data And Analytics


Management Decision Making Big Data And Analytics
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Author : Simone Gressel
language : en
Publisher: SAGE
Release Date : 2020-10-12

Management Decision Making Big Data And Analytics written by Simone Gressel and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with Business & Economics categories.


Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.



Business Intelligence Strategy And Big Data Analytics


Business Intelligence Strategy And Big Data Analytics
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Author : Steve Williams
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-04-08

Business Intelligence Strategy And Big Data Analytics written by Steve Williams and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-08 with Computers categories.


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 Governance And Perspectives In Knowledge Management


Big Data Governance And Perspectives In Knowledge Management
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Author : Strydom, Sheryl Kruger
language : en
Publisher: IGI Global
Release Date : 2018-11-16

Big Data Governance And Perspectives In Knowledge Management written by Strydom, Sheryl Kruger and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-16 with Computers categories.


The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.