Two Essays On Large Scale Data Applications In Marketing
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Two Essays On Large Scale Data Applications In Marketing
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Author : Keunwoo Kim
language : en
Publisher:
Release Date : 2018
Two Essays On Large Scale Data Applications In Marketing written by Keunwoo Kim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
With the increased efforts of firms to collect data at a more detailed level and the recent advancement of data storage technology, empirical researchers have encountered new challenges in extracting values from large-scale data. Answering to the calls in the era of "big data", the present dissertation introduces two applications on how to deal with large-scale data problems in marketing: The first essay shows an application on how to extract a specific information from multiple datasets in an online advertising context, and the second essay introduces a new estimation method which enables to measure heterogeneity from large-scale data. The first essay proposes a structural modeling approach to enhance the precision in measuring an online advertising effect on purchase probability by jointly estimating individual level purchase and store browsing behavior. Many researchers have pointed out that measurement of the ad effect is difficult because the effect size is small and the unexplained variation in purchase is large. Our method extracts information on the difference between latent purchase utility of consumers who have been exposed to ads and who have not been exposed to ad from the difference of observed browsing behavior between those two groups of consumers. The second essay introduces a novel approach which significantly improves the efficiency of the estimation process for random coefficients models by employing the Stochastic Gradient Descent algorithm. Simulation studies under random coefficients logit model settings demonstrate that our SGD estimator outperforms the BFGS approach, which is one of the most commonly used approaches, in both efficiency and accuracy.
Engaging Customers Using Big Data
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Author : Arvind Sathi
language : en
Publisher: Springer
Release Date : 2017-03-15
Engaging Customers Using Big Data written by Arvind Sathi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-15 with Business & Economics categories.
Data is transforming how and where we market to our customers. Using a series of case studies from pioneers, this book will describe how each marketing function is undergoing fundamental changes, and provides practical guidance about how companies can learn the tools and techniques to take advantage of marketing analytics.
Big Data Analytics
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Author : Kiran Chaudhary
language : en
Publisher: CRC Press
Release Date : 2021-12-27
Big Data Analytics written by Kiran Chaudhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-27 with Business & Economics categories.
Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well as future research directions. It also examines how this emerging field could be extended to performance management and decision-making. Investment in business and marketing analytics can create value through proper allocation of resources and resource orchestration process. The use of data analytics tools can be used to diagnose and improve performance. The book is divided into five parts. The first part introduces data science, big data, and data analytics. The second part focuses on applications of business analytics including: Big data analytics and algorithm Market basket analysis Anticipating consumer purchase behavior Variation in shopping patterns Big data analytics for market intelligence The third part looks at business intelligence and features an evaluation study of churn prediction models for business Intelligence. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and of consumer behavior. The book concludes with digital marketing, marketing by consumer analytics, web analytics for digital marketing, and smart retailing. This book covers the concepts, applications and research trends of marketing and business analytics with the aim of helping organizations increase profitability by improving decision-making through data analytics.
Data Analytics For Business
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Author : Ira J. Haimowitz
language : en
Publisher: Taylor & Francis
Release Date : 2022-12-20
Data Analytics For Business written by Ira J. Haimowitz and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-20 with Business & Economics categories.
Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications. The foundation of this text is the author’s 20-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and business analytics. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures. Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics.
Thinking Ahead Essays On Big Data Digital Revolution And Participatory Market Society
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Author : Dirk Helbing
language : en
Publisher: Springer
Release Date : 2015-04-10
Thinking Ahead Essays On Big Data Digital Revolution And Participatory Market Society written by Dirk Helbing and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-10 with Computers categories.
The rapidly progressing digital revolution is now touching the foundations of the governance of societal structures. Humans are on the verge of evolving from consumers to prosumers, and old, entrenched theories – in particular sociological and economic ones – are falling prey to these rapid developments. The original assumptions on which they are based are being questioned. Each year we produce as much data as in the entire human history - can we possibly create a global crystal ball to predict our future and to optimally govern our world? Do we need wide-scale surveillance to understand and manage the increasingly complex systems we are constructing, or would bottom-up approaches such as self-regulating systems be a better solution to creating a more innovative, more successful, more resilient, and ultimately happier society? Working at the interface of complexity theory, quantitative sociology and Big Data-driven risk and knowledge management, the author advocates the establishment of new participatory systems in our digital society to enhance coordination, reduce conflict and, above all, reduce the “tragedies of the commons,” resulting from the methods now used in political, economic and management decision-making. The author Physicist Dirk Helbing is Professor of Computational Social Science at the Department of Humanities, Social and Political Sciences and an affiliate of the Computer Science Department at ETH Zurich, as well as co-founder of ETH’s Risk Center. He is internationally known for the scientific coordination of the FuturICT Initiative which focuses on using smart data to understand techno-socio-economic systems. “Prof. Helbing has produced an insightful and important set of essays on the ways in which big data and complexity science are changing our understanding of ourselves and our society, and potentially allowing us to manage our societies much better than we are currently able to do. Of special note are the essays that touch on the promises of big data along with the dangers...this is material that we should all become familiar with!” Alex Pentland, MIT, author of Social Physics: How Good Ideas Spread - The Lessons From a New Science "Dirk Helbing has established his reputation as one of the leading scientific thinkers on the dramatic impacts of the digital revolution on our society and economy. Thinking Ahead is a most stimulating and provocative set of essays which deserves a wide audience.” Paul Ormerod, economist, and author of Butterfly Economics and Why Most Things Fail. "It is becoming increasingly clear that many of our institutions and social structures are in a bad way and urgently need fixing. Financial crises, international conflicts, civil wars and terrorism, inaction on climate change, problems of poverty, widening economic inequality, health epidemics, pollution and threats to digital privacy and identity are just some of the major challenges that we confront in the twenty-first century. These issues demand new and bold thinking, and that is what Dirk Helbing offers in this collection of essays. If even a fraction of these ideas pay off, the consequences for global governance could be significant. So this is a must-read book for anyone concerned about the future." Philip Ball, science writer and author of Critical Mass “This collection of papers, brought together by Dirk Helbing, is both timely and topical. It raises concerns about Big Data, which are truly frightening and disconcerting, that we do need to be aware of; while at the same time offering some hope that the technology, which has created the previously unthought-of dangers to our privacy, safety and democracy can be the means to address these dangers by enabling social, economic and political participation and coordination, not possible in the past. It makes for compelling reading and I hope for timely action.”Eve Mitleton-Kelly, LSE, author of Corporate Governance and Complexity Theory and editor of Co-evolution of Intelligent Socio-technical Systems
The Big Data Driven Business
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Author : Russell Glass
language : en
Publisher: John Wiley & Sons
Release Date : 2014-11-06
The Big Data Driven Business written by Russell Glass 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 2014-11-06 with Business & Economics categories.
Get the expert perspective and practical advice on big data The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits makes the case that big data is for real, and more than just big hype. The book uses real-life examples—from Nate Silver to Copernicus, and Apple to Blackberry—to demonstrate how the winners of the future will use big data to seek the truth. Written by a marketing journalist and the CEO of a multi-million-dollar B2B marketing platform that reaches more than 90% of the U.S. business population, this book is a comprehensive and accessible guide on how to win customers, beat competitors, and boost the bottom line with big data. The marketplace has entered an era where the customer holds all the cards. With unprecedented choice in both the consumer world and the B2B world, it's imperative that businesses gain a greater understanding of their customers and prospects. Big data is the key to this insight, because it provides a comprehensive view of a company's customers—who they are, and who they may be tomorrow. The Big Data-Driven Business is a complete guide to the future of business as seen through the lens of big data, with expert advice on real-world applications. Learn what big data is, and how it will transform the enterprise Explore why major corporations are betting their companies on marketing technology Read case studies of big data winners and losers Discover how to change privacy and security, and remodel marketing Better information allows for better decisions, better targeting, and better reach. Big data has become an indispensable tool for the most effective marketers in the business, and it's becoming less of a competitive advantage and more like an industry standard. Remaining relevant as the marketplace evolves requires a full understanding and application of big data, and The Big Data-Driven Business provides the practical guidance businesses need.
How Big Data Is Transforming Marketing And Sales
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Author : David Gerald
language : en
Publisher:
Release Date : 2021-07-05
How Big Data Is Transforming Marketing And Sales written by David Gerald and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-05 with categories.
Contents ************************************** Big data-enabled large-scale group decision making for circular economy ************************************** Bridging marketing theory and big data analytics: The taxonomy of marketing attribution ************************************** Keywords: How Big Data is transforming marketing and sales? What is the role of big data in marketing digital marketing? Big data architecture Action research Case study research Blockchain adoption Supply chain management Big data Circular economy Stakeholders as large decision makers Case study Emerging market Agile management Heterogeneity Internet-of-things Smart factory Smart manufacturing Customer journey analytics Multi-channel marketing performance measurement Taxonomy Marketing attribution Decision-making Big Data analytics in Agile software development big data facebook big data baseball big data analysis for green computing concepts and applications big data big climb big data systems big data healthcare big data aws big data science big data mba big data a big data dragon tank big data a revolution that will transform big data a revolution that will transform how we live work and think big data algorithms big data analysis big data analytics big data and health analytics big data and social science big data architect big data architecture big data at work big data band big data small wars big data spanish big data spark big data system big data technologies for business big data textbook big data uncharted big data understanding how data powers big business big data using hadoop big data using hadoop and hive big data visualization big data with java big data with spark
Two Essays On Mining Market Basket Data Models And Applications In Marketing
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Author :
language : en
Publisher:
Release Date : 2008
Two Essays On Mining Market Basket Data Models And Applications In Marketing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Two essays on "mining market basket data: Models and applications in marketing."
Humanizing Big Data
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Author : Colin Strong
language : en
Publisher:
Release Date : 2015
Humanizing Big Data written by Colin Strong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with BUSINESS & ECONOMICS categories.
Unlock the value of big data and realize the impact it can have both on customer understanding and better business performance with this authoritative guide.
The Emerging Technology Of Big Data
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Author : Heru Susanto
language : en
Publisher: CRC Press
Release Date : 2019-03-29
The Emerging Technology Of Big Data written by Heru Susanto and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-29 with Business & Economics categories.
Big Data is now highly regarded and accepted as a useful tool to help organizations manage their data and information effectively and efficiently. This new volume, The Emerging Technology of Big Data: Its Impact as a Tool for ICT Development, looks at the new technology that has emerged to meet the growing need and demand and studies the impact of Big Data in several areas of today’s society, including social media, business process re-engineering, science, e-learning, higher education, business intelligence, and green computing. In today’s modern society, information system (IS) through Big Data contributes to the success of organizations because it provides a solid foundation for increasing both efficiency and productivity. Many business organizations and educational institutions realize that compliance with Big Data will affect their prospects for success. Everyday, the amount of data collected from digital tools grows tremendously. As the amount of data increases, the use of IS becomes more and more essential. The book looks at how large datasets and analytics have slowly crept into the world of education and discusses methods of teaching and learning and the collection of student-learning data. The final chapter of the book considers the environmental impacts of ICT and emphasizes green ICT awareness as a corporate strategy through information systems. The global ICT industry accounts for approximately 2 percent of global carbon dioxide (CO2) emissions, and the manufacture, shipping, and disposal of ICT equipment also contributes environmentally. This chapter addresses these issues. The information provided here will be valuable information for education professionals, businesses, faculty, scientists and researchers, and others.