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The The Economics of Data, Analytics, and Digital Transformation

discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators;

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Digital Transformation for a Sustainable Society in the 21st Century

from 138 submissions. The papers were organized in topical sections named: e-business; big data analytics, open science and open data;

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Field Guide to Digital Transformation, A

force Prepare for and overcome the common challenges associated with digital transformation initiatives Understand the data-driven nature;

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Digital Transformation and Innovative Services for Business and Learning

research on the latest digital services and their role in supporting the digital transformation of businesses and education. While highlighting;

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Machine Learning Paradigms

sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new;

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Self-Service Data Analytics and Governance for Managers

technologies that have given rise to data analytics and which form the evolving backdrop for digital transformation are introduced and explained, and;

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Adoption of Data Analytics in Higher Education Learning and Teaching

transformation toward implementation of educational data mining and learning analytics. It features current research exploring the (a) theoretical;

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Contemporary Issues in Digital Marketing

discourse. With contributions from world-renowned experts, the book covers: * Big Data, Artificial Intelligence and Analytics in Digital;

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Digital transformation. Know how

customers problems. Data and analytics: Giving data hands and feet is crucial to the success of a digital transformation. Digital partnership;

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Managerial Perspectives on Intelligent Big Data Analytics

of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and;

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DataFirst Marketing

, distinguished authors Miller and Lim demystify the application of data analytics to marketing in any size business. Digital transformation has;

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Digital Economy. Emerging Technologies and Business Innovation

Technologies in the digital transformation process, business innovation and e-commerce. The 31 papers presented in this volume were carefully;

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Big Data Analytics

Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well;

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Big Data Analytics

Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well;

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Applications of Machine Learning in Big-Data Analytics and Cloud Computing

Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has;

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Digital Economy. Emerging Technologies and Business Innovation

transformation, data analytics, digital marketing, and digital business models.;

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Guide to Industrial Analytics

This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet;

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The Practice of Statistics for Business and Economics

Look at your data Now available with Macmillan's online learning platform Achieve, The Practice of Statistics for Business and;

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Cybersecurity in Digital Transformation

, Threat Attack Profiling, Threat Intelligence, Threat Lifecycle and more. The idea behind digital transformation is to use digital;

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The Economics of Digital Transformation

of digital transformation on the sustainable functioning of socioeconomic and environmental systems. Select chapters also investigate the;

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Data Analytics in Marketing, Entrepreneurship, and Innovation

innovation The book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and;

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Collaborative Networks and Digital Transformation

comprehensive overview of major challenges and recent advances in various domains related to the digital transformation and collaborative networks and;

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Collaborative Networks and Digital Transformation

comprehensive overview of major challenges and recent advances in various domains related to the digital transformation and collaborative networks and;

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ISE Applied Statistics in Business and Economics

business situations and real data while appealing to students who want to know the why rather than just the how. The text emphasizes thinking;

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Business Transformation

capabilities, the skilled resources, the information processes, and the cultural commitment to derive the most value from your data. Business;

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Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models;

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Big Data Analytics and Computing for Digital Forensic Investigations

. This book investigates the areas of digital forensics, digital investigation and data analysis procedures as they apply to computer fraud and;

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