Consumer Data Research

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Consumer Data Research

Author : Paul Longley
Publisher : UCL Press
ISBN 13 : 1787353885
Total Pages : 198 pages
Book Rating : 4.7/5 (873 download)

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Book Synopsis Consumer Data Research by : Paul Longley

Download or read book Consumer Data Research written by Paul Longley and published by UCL Press. This book was released on 2018-04-30 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data collected by customer-facing organisations – such as smartphone logs, store loyalty card transactions, smart travel tickets, social media posts, or smart energy meter readings – account for most of the data collected about citizens today. As a result, they are transforming the practice of social science. Consumer Big Data are distinct from conventional social science data not only in their volume, variety and velocity, but also in terms of their provenance and fitness for ever more research purposes. The contributors to this book, all from the Consumer Data Research Centre, provide a first consolidated statement of the enormous potential of consumer data research in the academic, commercial and government sectors – and a timely appraisal of the ways in which consumer data challenge scientific orthodoxies. Praise for Consumer Data Research 'An insightful, state-of-the-art guide into the social and commercial value of applying geographical thinking to the study of consumer data.' Professor Richard Harris, University of Bristol 'An excellent guide to leveraging the value of academic research on valid data. Partnerships based around consumer data should be encouraged and supported by all and their outputs used to better the way we manage the world we live in.' Bill Grimsey, retailer and author of The Vanishing Highstreet 'The use of data from everyday consumer transactions is a potential game-changer for understanding economic and social patterns and trends. This is an excellent overview of the field.' Dr.Tom Smith, Managing Director, Office for National Statistics Data Science Campus

Studies in Consumer Demand — Econometric Methods Applied to Market Data

Author : Jeffrey A. Dubin
Publisher : Springer Science & Business Media
ISBN 13 : 1461556651
Total Pages : 306 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Studies in Consumer Demand — Econometric Methods Applied to Market Data by : Jeffrey A. Dubin

Download or read book Studies in Consumer Demand — Econometric Methods Applied to Market Data written by Jeffrey A. Dubin and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studies in Consumer Demand - Econometric Methods Applied to Market Data contains eight previously unpublished studies of consumer demand. Each study stands on its own as a complete econometric analysis of demand for a well-defined consumer product. The econometric methods range from simple regression techniques applied in the first four chapters, to the use of logit and multinomial logit models used in chapters 5 and 6, to the use of nested logit models in chapters 6 and 7, and finally to the discrete/continuous modeling methods used in chapter 8. Emphasis is on applications rather than econometric theory. In each case, enough detail is provided for the reader to understand the purpose of the analysis, the availability and suitability of data, and the econometric approach to measuring demand.

Consumer Insight

Author : Merlin Stone
Publisher : Kogan Page Publishers
ISBN 13 : 9780749442927
Total Pages : 308 pages
Book Rating : 4.4/5 (429 download)

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Book Synopsis Consumer Insight by : Merlin Stone

Download or read book Consumer Insight written by Merlin Stone and published by Kogan Page Publishers. This book was released on 2004 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides comprehensive coverage of the classic areas that market researchers and marketers need to focus on.

Quantitative Research Methods in Consumer Psychology

Author : Paul Hackett
Publisher : Taylor & Francis
ISBN 13 : 1317280415
Total Pages : 418 pages
Book Rating : 4.3/5 (172 download)

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Book Synopsis Quantitative Research Methods in Consumer Psychology by : Paul Hackett

Download or read book Quantitative Research Methods in Consumer Psychology written by Paul Hackett and published by Taylor & Francis. This book was released on 2018-12-07 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative consumer research has long been the backbone of consumer psychology producing insights with peerless validity and reliability. This new book addresses a broad range of approaches to consumer psychology research along with developments in quantitative consumer research. Experts in their respective fields offer a perspective into this rapidly changing discipline of quantitative consumer research. The book focuses on new techniques as well as adaptations of traditional approaches and addresses ethics that relate to contemporary research approaches. The text is appropriate for use with university students at all academic levels. Each chapter provides both a theoretical grounding in its topic area and offers applied examples of the use of the approach in consumer settings. Exercises are provided at the end of each chapter to test student learning. Topics covered are quantitative research techniques, measurement theory and psychological scaling, mapping sentences for planning and managing research, using qualitative research to elucidate quantitative research findings, big data and its visualization, extracting insights from online data, modeling the consumer, social media and digital market analysis, connectionist modeling of consumer choice, market sensing and marketing research, preparing data for analysis;, and ethics. The book may be used on its own as a textbook and may also be used as a supplementary text in quantitative research courses.

Statistics for Marketing and Consumer Research

Author : Mario Mazzocchi
Publisher : SAGE
ISBN 13 : 1446204014
Total Pages : 433 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Statistics for Marketing and Consumer Research by : Mario Mazzocchi

Download or read book Statistics for Marketing and Consumer Research written by Mario Mazzocchi and published by SAGE. This book was released on 2008-05-22 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Balancing simplicity with technical rigour, this practical guide to the statistical techniques essential to research in marketing and related fields, describes each method as well as showing how they are applied. The book is accompanied by two real data sets to replicate examples and with exercises to solve, as well as detailed guidance on the use of appropriate software including: - 750 powerpoint slides with lecture notes and step-by-step guides to run analyses in SPSS (also includes screenshots) - 136 multiple choice questions for tests This is augmented by in-depth discussion of topics including: - Sampling - Data management and statistical packages - Hypothesis testing - Cluster analysis - Structural equation modelling

Qualitative Consumer and Marketing Research

Author : Russell Belk
Publisher : SAGE
ISBN 13 : 1446272060
Total Pages : 243 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Qualitative Consumer and Marketing Research by : Russell Belk

Download or read book Qualitative Consumer and Marketing Research written by Russell Belk and published by SAGE. This book was released on 2012-12-14 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: How is qualitative marketing and consumer research conducted today? - What is rigorous research in this field? - What are the new, cutting edge techniques? Written for students, scholars, and marketing research practitioners, this book takes readers through the basics to an advanced understanding of the latest developments in qualitative marketing and consumer research. The book offers readers a practical guide to planning, conducting, analyzing, and presenting research using both time-tested and new methods, skills and technologies. With hands-on exercises that researchers can practice and apply, the book leads readers step-by-step through developing qualitative researching skills, using illustrations drawn from the best of recent and classic research. Whatever your background, this book will help you become a better researcher and help your research come alive for others.

Statistical Methods in Food and Consumer Research

Author : Maximo C. Gacula Jr.
Publisher : Academic Press
ISBN 13 : 0080920330
Total Pages : 868 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Statistical Methods in Food and Consumer Research by : Maximo C. Gacula Jr.

Download or read book Statistical Methods in Food and Consumer Research written by Maximo C. Gacula Jr. and published by Academic Press. This book was released on 2008-12-01 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Methods in Food and Consumer Research, Second Edition, continues to be the only book to focus solely on the statistical techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer products. This new edition includes the most recent applications of statistical methods, and features significant updates as well as two new chapters. Covering the application of techniques including R-index, the Bayesian approach for sensory differences tests, and preference mapping in addition to several other methodologies, this is the comprehensive reference needed by those studying sensory evaluation and applied statistics in agriculture and biological sciences. Research professionals working with food, beverages, healthcare, cosmetics, and other related areas will find the book a valuable guide to the variety of statistical methods available. Provides comprehensive coverage of statistical techniques in sensory testing Includes data compiled from real-world experiments Covers the latest in data interpretation and analysis Addresses key methods such as R-index, Thursonian Discriminal Distances, group sequential tests, beta-binomial tests, sensory difference and similarity tests, just-about-right data, signal-to-noise ratio, analysis of cosmetic data, Descriptive Analysis, claims substantiation and preference mapping

Big Data for Twenty-First-Century Economic Statistics

Author : Katharine G. Abraham
Publisher : University of Chicago Press
ISBN 13 : 022680125X
Total Pages : 502 pages
Book Rating : 4.2/5 (268 download)

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Book Synopsis Big Data for Twenty-First-Century Economic Statistics by : Katharine G. Abraham

Download or read book Big Data for Twenty-First-Century Economic Statistics written by Katharine G. Abraham and published by University of Chicago Press. This book was released on 2022-03-11 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.

Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era

Author : Keikhosrokiani, Pantea
Publisher : IGI Global
ISBN 13 : 1668441705
Total Pages : 484 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era by : Keikhosrokiani, Pantea

Download or read book Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era written by Keikhosrokiani, Pantea and published by IGI Global. This book was released on 2022-06-24 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emergence of new technologies within the industrial revolution has transformed businesses to a new socio-digital era. In this new era, businesses are concerned with collecting data on customer needs, behaviors, and preferences for driving effective customer engagement and product development, as well as for crucial decision making. However, the ever-shifting behaviors of consumers provide many challenges for businesses to pinpoint the wants and needs of their audience. The Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era focuses on the concepts, theories, and analytical techniques to track consumer behavior change. It provides multidisciplinary research and practice focusing on social and behavioral analytics to track consumer behavior shifts and improve decision making among businesses. Covering topics such as consumer sentiment analysis, emotional intelligence, and online purchase decision making, this premier reference source is a timely resource for business executives, entrepreneurs, data analysts, marketers, advertisers, government officials, social media professionals, libraries, students and educators of higher education, researchers, and academicians.

Neuromarketing and Big Data Analytics for Strategic Consumer Engagement: Emerging Research and Opportunities

Author : de Sousa, Joana Coutinho
Publisher : IGI Global
ISBN 13 : 1522548351
Total Pages : 200 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Neuromarketing and Big Data Analytics for Strategic Consumer Engagement: Emerging Research and Opportunities by : de Sousa, Joana Coutinho

Download or read book Neuromarketing and Big Data Analytics for Strategic Consumer Engagement: Emerging Research and Opportunities written by de Sousa, Joana Coutinho and published by IGI Global. This book was released on 2017-12-30 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new sub-area of marketing is emerging called neuromarketing. It combines psychology, neuroscience, and economics with the study of consumer motivations. This is leading to the creation of new technological approaches that enable companies to read the customer's mind and tailor marketing practices, products, and services. Neuromarketing and Big Data Analytics for Strategic Consumer Engagement: Emerging Research and Opportunities provides emerging information on the issues involved in the field of neuromarketing, including models, technologies, and the methodology of this field. Highlighting the intricacies of neuroscience, biometrics, multimedia technology, marketing strategy, and big data management, this book is an ideal resource for researchers, neuroscientists, marketers, suppliers, customers, and investors seeking current research on the integration of new neuromarketing trends and technologies.

Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing

Author : Singh, Amandeep
Publisher : IGI Global
ISBN 13 : 1799872335
Total Pages : 310 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing by : Singh, Amandeep

Download or read book Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing written by Singh, Amandeep and published by IGI Global. This book was released on 2021-06-18 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: The availability of big data, low-cost commodity hardware, and new information management and analytic software have produced a unique moment in the history of data analysis. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability especially in digital marketing. Data plays a huge role in understanding valuable insights about target demographics and customer preferences. From every interaction with technology, regardless of whether it is active or passive, we are creating new data that can describe us. If analyzed correctly, these data points can explain a lot about our behavior, personalities, and life events. Companies can leverage these insights for product improvements, business strategy, and marketing campaigns to cater to the target customers. Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing aids understanding of big data in terms of digital marketing for meaningful analysis of information that can improve marketing efforts and strategies using the latest digital techniques. The chapters cover a wide array of essential marketing topics and techniques, including search engine marketing, consumer behavior, social media marketing, online advertising, and how they interact with big data. This book is essential for professionals and researchers working in the field of analytics, data, and digital marketing, along with marketers, advertisers, brand managers, social media specialists, managers, sales professionals, practitioners, researchers, academicians, and students looking for the latest information on how big data is being used in digital marketing strategies.

Business and Consumer Analytics: New Ideas

Author : Pablo Moscato
Publisher : Springer
ISBN 13 : 3030062228
Total Pages : 1005 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Business and Consumer Analytics: New Ideas by : Pablo Moscato

Download or read book Business and Consumer Analytics: New Ideas written by Pablo Moscato and published by Springer. This book was released on 2019-05-30 with total page 1005 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.

Consumer Behaviour and Analytics

Author : Andrew Smith
Publisher : Taylor & Francis
ISBN 13 : 1000982998
Total Pages : 231 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Consumer Behaviour and Analytics by : Andrew Smith

Download or read book Consumer Behaviour and Analytics written by Andrew Smith and published by Taylor & Francis. This book was released on 2023-11-08 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of Consumer Behaviour and Analytics provides a consumer behaviour textbook for the new marketing reality. In a world of Big Data, machine learning and artificial intelligence, this key text reviews the issues, research and concepts essential for navigating this new terrain. It demonstrates how we can use data-driven insight and merge this with insight from extant research to inform knowledge-driven decision-making. Adopting a practical and managerial lens, while also exploring the rich lineage of academic consumer research, this textbook approaches its subject from a refreshing and original standpoint. It contains numerous accessible examples, scenarios and exhibits, and condenses the disparate array of relevant work into a workable, coherent, synthesized and readable whole. Providing an effective tour of the concepts and ideas most relevant in the age of analytics-driven marketing (from data visualization to semiotics), the book concludes with an adaptive structure to inform managerial decision-making. Consumer Behaviour and Analytics provides a unique distillation from a vast array of social and behavioural research merged with the knowledge potential of digital insight. It offers an effective and efficient summary for undergraduate, postgraduate or executive courses in consumer behaviour and marketing analytics, and also functions as a supplementary text for other marketing modules. Online resources include PowerPoint slides.

A Consumer Food Data System for 2030 and Beyond

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309670748
Total Pages : 231 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis A Consumer Food Data System for 2030 and Beyond by : National Academies of Sciences, Engineering, and Medicine

Download or read book A Consumer Food Data System for 2030 and Beyond written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-08-20 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Patterns of food consumption and nutritional intake strongly affect the population's health and well-being. The Food Economics Division of USDA's Economic Research Service (ERS) engages in research and data collection to inform policy making related to the leading federal nutrition assistance programs managed by USDA's Food and Nutrition Service. The ERS uses the Consumer Food Data System to understand why people choose foods, how food assistance programs affect these choices, and the health impacts of those choices. At the request of ERS, A Consumer Food Data System for 2030 and Beyond provides a blueprint for ERS's Food Economics Division for its data strategy over the next decade. This report explores the quality of data collected, the data collection process, and the kinds of data that may be most valuable to researchers, policy makers, and program administrators going forward. The recommendations of A Consumer Food Data System for 2030 and Beyond will guide ERS to provide and sustain a multisource, interconnected, reliable data system.

Humanizing Big Data

Author : Colin Strong
Publisher : Kogan Page Publishers
ISBN 13 : 074947212X
Total Pages : 226 pages
Book Rating : 4.7/5 (494 download)

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Book Synopsis Humanizing Big Data by : Colin Strong

Download or read book Humanizing Big Data written by Colin Strong and published by Kogan Page Publishers. This book was released on 2015-03-03 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data raises more questions than it answers, particularly for those organizations struggling to deal with what has become an overwhelming deluge of data. It can offer marketers more than simple tactical predictive analytics, but organizations need a bigger picture, one that generates some real insight into human behaviour, to drive consumer strategy rather than just better targeting techniques. Humanizing Big Data guides marketing managers, brand managers, strategists and senior executives on how to use big data strategically to redefine customer relationships for better customer engagement and an improved bottom line. Humanizing Big Data provides a detailed understanding of the way to approach and think about the challenges and opportunities of big data, enabling any brand to realize the value of their current and future data assets. First it explores the 'nuts and bolts' of data analytics and the way in which the current big data agenda is in danger of losing credibility by paying insufficient attention to what are often fundamental tenets in any form of analysis. Next it sets out a manifesto for a smart data approach, drawing on an intelligent and big picture view of data analytics that addresses the strategic business challenges that businesses face. Finally it explores the way in which datafication is changing the nature of the relationship between brands and consumers and why this calls for new forms of analytics to support rapidly emerging new business models. After reading this book, any brand should be in a position to make a step change in the value they derive from their data assets.

Profiting from the Data Economy

Author : David A. Schweidel
Publisher : Pearson Education
ISBN 13 : 0133819779
Total Pages : 288 pages
Book Rating : 4.1/5 (338 download)

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Book Synopsis Profiting from the Data Economy by : David A. Schweidel

Download or read book Profiting from the Data Economy written by David A. Schweidel and published by Pearson Education. This book was released on 2014-10-20 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is everywhere. Good data. Bad data. Small data. Big data. What are the implications of all this data to businesses and consumers? Can we use it to deliver real benefits to consumers and citizens without sacrificing the privacy they still value? What are the responsibilities of businesses and government in stewarding today's massive collections of data? How are those responsibilities changing? In Profiting from the Data Economy, pioneering marketing analytics researcher David Schweidel answers these and other crucial questions. Throughout this complete, up-to-date briefing on the transformative impact of ubiquitous Big Data, Schweidel illuminates key emerging trends with powerful case studies. The goal: to help you make better decisions about data-as an executive, marketer, IT professional, policymaker, consumer, and citizen.

In Data We Trust

Author : Lars Luck
Publisher : A&C Black
ISBN 13 : 1408179520
Total Pages : 222 pages
Book Rating : 4.4/5 (81 download)

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Book Synopsis In Data We Trust by : Lars Luck

Download or read book In Data We Trust written by Lars Luck and published by A&C Black. This book was released on 2012-08-02 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is it really possible for credit card companies to predict a divorce long before the couple in question know the end is nigh? Absolutely. All the information the companies need is already at their fingertips. The days of marketing professionals relying on 'gut feeling' are long gone, and intelligently analysed data streams make forecasting customer behaviour straightforward. As businesses all over the world fight hard and long for customer spend, it's the ones who transform data into smart data that will win the day, as data-crunch pioneers such as Google, Amazon and WalMart have shown. Written by a team of experienced marketing experts this enlightening book describes the revolutionary change in the marketing environment in recent years, provides fascinating case studies and gives indispensable advice on smart use of customer data. It is an essential read not only for every marketing professional but everyone wondering what happens to their personal information once it's 'out there'.