Industry Data Base
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World Databases In Industry
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Author : C. J. Armstrong
language : en
Publisher: Bowker-Saur
Release Date : 1995
World Databases In Industry written by C. J. Armstrong and has been published by Bowker-Saur this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Business & Economics categories.
Subject coverage: general business information--trade newsletters, state news services, & newspapers devoted solely to business & industry.
Information Industry Directory
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Author :
language : en
Publisher:
Release Date : 1996
Information Industry Directory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Data centers categories.
Comprehensive directory of databases as well as services "involved in the production and distribution of information in electronic form." There is a detailed subject index and function/service classification as well as name, keyword, and geographical location indexes.
The Data Industry
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Author : Chunlei Tang
language : en
Publisher: John Wiley & Sons
Release Date : 2016-06-13
The Data Industry written by Chunlei Tang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-13 with Mathematics categories.
Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises’ business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. Defines and develops the concept of a “Data Industry,” and explains the economics of data to data scientists and statisticians Includes numerous case studies and examples from a variety of industries and disciplines Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan’s Institute for Data Industry and proposed the concept of the “data industry”. She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China.
The Global Findex Database 2017
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Author : Asli Demirguc-Kunt
language : en
Publisher: World Bank Publications
Release Date : 2018-04-19
The Global Findex Database 2017 written by Asli Demirguc-Kunt and has been published by World Bank Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-19 with Business & Economics categories.
In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.
User S Manual For Business And Industry Database
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Author :
language : en
Publisher:
Release Date : 1995
User S Manual For Business And Industry Database written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Business categories.
Animation Industry Database
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Author :
language : en
Publisher:
Release Date : 2004
Animation Industry Database written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Animation (Cinematography) categories.
Provides access to individuals and companies involved in all aspects of the animation business. Production, design, software, hardware, animation schools, and related businesses are found at this site.
China S Publishing Industry In The Era Of Big Data
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Author : Li Zhang
language : en
Publisher: Springer Nature
Release Date : 2022-04-12
China S Publishing Industry In The Era Of Big Data written by Li Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-12 with Social Science categories.
This book introduces China’s current publishing industry in the new era, especially when facing the big challenge from social media and technology transformation. Based on the calculation for the first time, the book and overall size of the content data of publications in China, the book presents 15 cases of Chinese publishers looking for opportunities to develop business, using the technology of big data and Internet. For global readers, it may help to build an overview on China's publishing industry and business innovation cases of media companies.
Data Analytics For Business
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Author : Fenio Annansingh
language : en
Publisher: Routledge
Release Date : 2022-04-20
Data Analytics For Business written by Fenio Annansingh and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-20 with Business & Economics categories.
Data analytics underpin our modern data-driven economy. This textbook explains the relevance of data analytics at the firm and industry levels, tracing the evolution and key components of the field, and showing how data analytics insights can be leveraged for business results. The first section of the text covers key topics such as data analytics tools, data mining, business intelligence, customer relationship management, and cybersecurity. The chapters then take an industry focus, exploring how data analytics can be used in particular settings to strengthen business decision-making. A range of sectors are examined, including financial services, accounting, marketing, sport, health care, retail, transport, and education. With industry case studies, clear definitions of terminology, and no background knowledge required, this text supports students in gaining a solid understanding of data analytics and its practical applications. PowerPoint slides, a test bank of questions, and an instructor’s manual are also provided as online supplements. This will be a valuable text for undergraduate level courses in data analytics, data mining, business intelligence, and related areas.
Data Analytics Applied To The Mining Industry
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Author : Ali Soofastaei
language : en
Publisher: CRC Press
Release Date : 2020-11-12
Data Analytics Applied To The Mining Industry written by Ali Soofastaei and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-12 with Computers categories.
Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centers, autonomous equipment and the opportunities offered by the industrial internet of things. It provides guidelines on how data needs to be collected, stored and managed to enable the different advanced data analytics methods to be applied effectively in practice, through use of case studies, and worked examples. Aimed at graduate students, researchers, and professionals in the industry of mining engineering, this book: Explains how to implement advanced data analytics through case studies and examples in mining engineering Provides approaches and methods to improve data-driven decision making Explains a concise overview of the state of the art for Mining Executives and Managers Highlights and describes critical opportunity areas for mining optimization Brings experience and learning in digital transformation from adjacent sectors
Machine Learning And Data Science In The Power Generation Industry
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Author : Patrick Bangert
language : en
Publisher: Elsevier
Release Date : 2021-01-14
Machine Learning And Data Science In The Power Generation Industry written by Patrick Bangert and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-14 with Technology & Engineering categories.
Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting. Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls
