Managerial Perspectives On Intelligent Big Data Analytics

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Managerial Perspectives on Intelligent Big Data Analytics

Author : Sun, Zhaohao
Publisher : IGI Global
Page : 335 pages
File Size : 41,5 Mb
Release : 2019-02-22
Category : Computers
ISBN : 9781522572787

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Managerial Perspectives on Intelligent Big Data Analytics by Sun, Zhaohao Pdf

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

Author : Ramesh Sharda,Dursun Delen,Efraim Turban
Publisher : Pearson
Page : 515 pages
File Size : 53,8 Mb
Release : 2016-12-12
Category : Business & Economics
ISBN : 9780134635316

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Business Intelligence, Analytics, and Data Science by Ramesh Sharda,Dursun Delen,Efraim Turban Pdf

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

Author : Ramesh Sharda,Dursun Delen,Efraim Turban,David King
Publisher : Pearson Higher Ed
Page : 411 pages
File Size : 48,9 Mb
Release : 2013-12-23
Category : Business & Economics
ISBN : 9780133402629

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Business Intelligence by Ramesh Sharda,Dursun Delen,Efraim Turban,David King Pdf

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

Author : Francesco Corea
Publisher : Springer
Page : 48 pages
File Size : 42,8 Mb
Release : 2016-05-24
Category : Technology & Engineering
ISBN : 9783319389929

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Big Data Analytics: A Management Perspective by Francesco Corea Pdf

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.

Big Data Analytics and Intelligence

Author : Poonam Tanwar,Vishal Jain,Chuan-Ming Liu,Vishal Goyal
Publisher : Emerald Group Publishing
Page : 392 pages
File Size : 55,5 Mb
Release : 2020-09-30
Category : Business & Economics
ISBN : 9781839090998

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Big Data Analytics and Intelligence by Poonam Tanwar,Vishal Jain,Chuan-Ming Liu,Vishal Goyal Pdf

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.

Handbook of Research on Foundations and Applications of Intelligent Business Analytics

Author : Sun, Zhaohao,Wu, Zhiyou
Publisher : IGI Global
Page : 425 pages
File Size : 41,9 Mb
Release : 2022-03-11
Category : Computers
ISBN : 9781799890188

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Handbook of Research on Foundations and Applications of Intelligent Business Analytics by Sun, Zhaohao,Wu, Zhiyou Pdf

Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.

Intelligent Analytics With Advanced Multi-Industry Applications

Author : Sun, Zhaohao
Publisher : IGI Global
Page : 392 pages
File Size : 43,6 Mb
Release : 2021-01-08
Category : Computers
ISBN : 9781799849643

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Intelligent Analytics With Advanced Multi-Industry Applications by Sun, Zhaohao Pdf

Many fundamental technological and managerial issues surrounding the development and implementation of intelligent analytics within multi-industry applications remain unsolved. There are still questions surrounding the foundation of intelligent analytics, the elements, the big characteristics, and the effects on business, management, technology, and society. Research is devoted to answering these questions and understanding how intelligent analytics can improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation, and more. Intelligent Analytics With Advanced Multi-Industry Applications is a critical reference source that explores cutting-edge theories, technologies, and methodologies of intelligent analytics with multi-industry applications and emphasizes the integration of artificial intelligence, business intelligence, big data, and analytics from a perspective of computing, service, and management. This book also provides real-world applications of the proposed concept of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud, and service) commerce and services, healthcare, the internet of things, the sharing economy, cloud computing, blockchain, and Industry 4.0. This book is ideal for scientists, engineers, educators, university students, service and management professionals, policymakers, decision makers, practitioners, stakeholders, researchers, and others who have an interest in how intelligent analytics are being implemented and utilized in diverse industries.

Business Intelligence, Analytics, and Data Science

Author : Ramesh Sharda,Dursun Delen,Efraim Turban
Publisher : Unknown
Page : 512 pages
File Size : 45,7 Mb
Release : 2019
Category : Business intelligence
ISBN : 9353067022

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Business Intelligence, Analytics, and Data Science by Ramesh Sharda,Dursun Delen,Efraim Turban Pdf

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

Author : Ramesh Sharda,Dursun Delen,Efraim Turban,David King
Publisher : Unknown
Page : 512 pages
File Size : 48,5 Mb
Release : 2017-10-13
Category : Electronic
ISBN : 1292220546

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Business Intelligence, Analytics, and Data Science by Ramesh Sharda,Dursun Delen,Efraim Turban,David King Pdf

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.

Marketing and Big Data Analytics in Tourism and Events

Author : Hashem, Tareq Nael,Albattat, Ahmad,Valeri, Marco,Sharma, Anukrati
Publisher : IGI Global
Page : 313 pages
File Size : 48,8 Mb
Release : 2024-05-06
Category : Business & Economics
ISBN : 9798369333112

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Marketing and Big Data Analytics in Tourism and Events by Hashem, Tareq Nael,Albattat, Ahmad,Valeri, Marco,Sharma, Anukrati Pdf

In the digital age, the tourism industry faces the challenge of effectively marketing destinations amidst a sea of competition and information. Marketing Information Systems (MkIS) and Big Data Analytics (BDA) hold immense potential. Yet, many organizations need help harnessing their power efficiently. Marketing and Big Data Analytics in Tourism and Events offer a comprehensive solution, deep-dive into integrating MkIS and BDA as a strategic approach to revolutionizing tourism marketing. The book aims to bridge the gap between theory and practice by examining the complexities and nuances of MkIS and BDA in promoting tourist destinations. It provides actionable insights and practical strategies for leveraging these technologies effectively. Readers will understand how AI-driven MkIS and BDA can enhance marketing campaigns, improve customer experiences, and drive business growth in the tourism sector.

Research Anthology on Big Data Analytics, Architectures, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1988 pages
File Size : 45,6 Mb
Release : 2021-09-24
Category : Computers
ISBN : 9781668436639

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Research Anthology on Big Data Analytics, Architectures, and Applications by Management Association, Information Resources Pdf

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Handbook of Research on Driving Socioeconomic Development With Big Data

Author : Sun, Zhaohao
Publisher : IGI Global
Page : 449 pages
File Size : 50,8 Mb
Release : 2023-02-24
Category : Business & Economics
ISBN : 9781668459614

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Handbook of Research on Driving Socioeconomic Development With Big Data by Sun, Zhaohao Pdf

Socioeconomic development has drawn increasing attention in academia, industries, and governments. The relationship between big data and its technologies and socioeconomic development has drawn certain attention in academia. Socioeconomic development depends not only on big data, but also on big data technologies. However, the relationship between big data and socioeconomic development is not adequately covered in current research. The Handbook of Research on Driving Socioeconomic Development With Big Data provides an original and innovative understanding of and insight into how the proposed theories, technologies, and methodologies of big data can improve socioeconomic development and sustainable development in terms of business and services, healthcare, the internet of everything, sharing economy, and more. Covering topics such as corporate social responsibility, management applications, and process mining, this major reference work is an excellent resource for data scientists, business leaders and executives, IT professionals, government officials, economists, sociologists, librarians, students, researchers, and academicians.

Cognitive Computing and Big Data Analytics

Author : Judith S. Hurwitz,Marcia Kaufman,Adrian Bowles
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 50,9 Mb
Release : 2015-02-12
Category : Computers
ISBN : 9781118896631

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Cognitive Computing and Big Data Analytics by Judith S. Hurwitz,Marcia Kaufman,Adrian Bowles Pdf

A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.

Emerging Perspectives in Big Data Warehousing

Author : Taniar, David,Rahayu, Wenny
Publisher : IGI Global
Page : 348 pages
File Size : 48,9 Mb
Release : 2019-06-28
Category : Computers
ISBN : 9781522555179

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Emerging Perspectives in Big Data Warehousing by Taniar, David,Rahayu, Wenny Pdf

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and shape continuously over time. In order to support spatio-temporal data, a data model and associated query language is needed for supporting moving objects. Emerging Perspectives in Big Data Warehousing is an essential research publication that explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis on the applicability to real-world problems. Featuring a wide range of topics such as index structures, ontology, and user behavior, this book is ideally designed for IT consultants, researchers, professionals, computer scientists, academicians, and managers.

Big Data Analytics for Sustainable Computing

Author : Haldorai, Anandakumar,Ramu, Arulmurugan
Publisher : IGI Global
Page : 263 pages
File Size : 53,6 Mb
Release : 2019-09-20
Category : Computers
ISBN : 9781522597520

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Big Data Analytics for Sustainable Computing by Haldorai, Anandakumar,Ramu, Arulmurugan Pdf

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.