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Why Is Big Data Gathering The Best Method To Predict Consumer Behavior
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Book Synopsis Big Data in Practice by : Bernard Marr
Download or read book Big Data in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2016-03-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter
Book Synopsis Predictive Marketing by : Omer Artun
Download or read book Predictive Marketing written by Omer Artun and published by John Wiley & Sons. This book was released on 2015-08-06 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make personalized marketing a reality with this practical guide to predictive analytics Predictive Marketing is a predictive analytics primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences. You'll learn how to use machine-learning technologies to improve customer acquisition and customer growth, and how to identify and re-engage at-risk or lapsed customers by implementing an easy, automated approach to predictive analytics. Much more than just theory and testament to the power of personalized marketing, this book focuses on action, helping you understand and actually begin using this revolutionary approach to the customer experience. Predictive analytics can finally make personalized marketing a reality. For the first time, predictive marketing is accessible to all marketers, not just those at large corporations — in fact, many smaller organizations are leapfrogging their larger counterparts with innovative programs. This book shows you how to bring predictive analytics to your organization, with actionable guidance that get you started today. Implement predictive marketing at any size organization Deliver a more personalized marketing experience Automate predictive analytics with machine learning technology Base marketing decisions on concrete data rather than unproven ideas Marketers have long been talking about delivering personalized experiences across channels. All marketers want to deliver happiness, but most still employ a one-size-fits-all approach. Predictive Marketing provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience.
Book Synopsis Big Data a Tool for Inclusion Or Exclusion? Understanding the Issues by : Federal Trade Federal Trade Commission
Download or read book Big Data a Tool for Inclusion Or Exclusion? Understanding the Issues written by Federal Trade Federal Trade Commission and published by Createspace Independent Publishing Platform. This book was released on 2016-07-18 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are in the era of big data. With a smartphone now in nearly every pocket, a computer in nearly every household, and an ever-increasing number of Internet-connected devices in the marketplace, the amount of consumer data flowing throughout the economy continues to increase rapidly. The analysis of this data is often valuable to companies and to consumers, as it can guide the development of new products and services, predict the preferences of individuals, help tailor services and opportunities, and guide individualized marketing. At the same time, advocates, academics, and others have raised concerns about whether certain uses of big data analytics may harm consumers, particularly lowincome and underserved populations. To explore these issues, the Federal Trade Commission ("FTC" or "the Commission") held a public workshop, Big Data: A Tool for Inclusion or Exclusion?, on September 15, 2014. The workshop brought together stakeholders to discuss both the potential of big data to create opportunities for consumers and to exclude them from such opportunities. The Commission has synthesized the information from the workshop, a prior FTC seminar on alternative scoring products, and recent research to create this report. Though "big data" encompasses a wide range of analytics, this report addresses only the commercial use of big data consisting of consumer information and focuses on the impact of big data on low-income and underserved populations. Of course, big data also raises a host of other important policy issues, such as notice, choice, and security, among others. Those, however, are not the primary focus of this report. As "little" data becomes "big" data, it goes through several phases. The life cycle of big data can be divided into four phases: (1) collection; (2) compilation and consolidation; (3) analysis; and (4) use. This report focuses on the fourth phase and discusses the benefits and risks created by the use of big data analytics; the consumer protection and equal opportunity laws that currently apply to big data; research in the field of big data; and lessons that companies should take from the research. Ultimately, this report is intended to educate businesses on important laws and research that are relevant to big data analytics and provide suggestions aimed at maximizing the benefits and minimizing its risks.
Book Synopsis Predictive Analytics by : Eric Siegel
Download or read book Predictive Analytics written by Eric Siegel and published by John Wiley & Sons. This book was released on 2016-01-12 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a
Book Synopsis Big Data Analytics Techniques for Market Intelligence by : Darwish, Dina
Download or read book Big Data Analytics Techniques for Market Intelligence written by Darwish, Dina and published by IGI Global. This book was released on 2024-01-04 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.
Book Synopsis Digital and Social Media Marketing by : Nripendra P. Rana
Download or read book Digital and Social Media Marketing written by Nripendra P. Rana and published by Springer Nature. This book was released on 2019-11-11 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.
Book Synopsis Big Data For Dummies by : Judith S. Hurwitz
Download or read book Big Data For Dummies written by Judith S. Hurwitz and published by John Wiley & Sons. This book was released on 2013-04-02 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.
Book Synopsis Predictive Analytics, Data Mining and Big Data by : S. Finlay
Download or read book Predictive Analytics, Data Mining and Big Data written by S. Finlay and published by Springer. This book was released on 2014-07-01 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.
Book Synopsis Big Data by : Executive Office of the President
Download or read book Big Data written by Executive Office of the President and published by CreateSpace. This book was released on 2014-10-29 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the first censuses were taken and crop yields recorded in ancient times, data collection and analysis have been essential to improving the functioning of society. Foundational work in calculus, probability theory, and statistics in the 17th and 18th centuries provided an array of new tools used by scientists to more precisely predict the movements of the sun and stars and determine population-wide rates of crime, marriage, and suicide. These tools often led to stunning advances. In the 1800s, Dr. John Snow used early modern data science to map cholera “clusters” in London. By tracing to a contaminated public well a disease that was widely thought to be caused by “miasmatic” air, Snow helped lay the foundation for the germ theory of disease.Gleaning insights from data to boost economic activity also took hold in American industry. Frederick Winslow Taylor's use of a stopwatch and a clipboard to analyze productivity at Midvale Steel Works in Pennsylvania increased output on the shop floor and fueled his belief that data science could revolutionize every aspect of life.2 In 1911, Taylor wrote The Principles of Scientific Management to answer President Theodore Roosevelt's call for increasing “national efficiency”: Today, data is more deeply woven into the fabric of our lives than ever before. We aspire to use data to solve problems, improve well-being, and generate economic prosperity. The collection, storage, and analysis of data is on an upward and seemingly unbounded trajectory, fueled by increases in processing power, the cratering costs of computation and storage, and the growing number of sensor technologies embedded in devices of all kinds. In 2011, some estimated the amount of information created and replicated would surpass 1.8 zettabytes. In 2013, estimates reached 4 zettabytes of data generated worldwide.
Book Synopsis New Perspectives on Critical Marketing and Consumer Society by : Elaine L Ritch
Download or read book New Perspectives on Critical Marketing and Consumer Society written by Elaine L Ritch and published by Emerald Group Publishing. This book was released on 2021-03-01 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital communication has altered the flow of global information,evolved consumer values and changed consumption practices worldwide.New Perspectives on Critical Marketing and Consumer Society provides an illuminating, challenging and thought-provoking guide for all upper-level students of marketing,branding and consumer behaviour.
Book Synopsis Creating Business Agility by : Rodney Heisterberg
Download or read book Creating Business Agility written by Rodney Heisterberg and published by John Wiley & Sons. This book was released on 2014-08-27 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Creating Business Agility: How Convergence of Cloud, Social, Mobile, Video, and Big Data Enables Competitive Advantage provides a game plan for integrating technology to build a smarter, more customer-centric business. Using a series of case studies as examples throughout, the book describes the agility that comes from collaborative commerce, and provides key decision makers the implementation roadmap they need to build a successful business ecosystem. The focus is on Business Agility Readiness in terms of the five major changes affecting the information technology landscape, and how data-driven delivery platforms and decision-making processes are being reinvented using digital relationships with a social business model as the consumer world of technology drives innovation and collaboration. Cloud computing, social media, next-gen mobility, streaming video, and big data with predictive analytics are major forces now for a competitive advantage, and Creating Business Agility provides leaders with a roadmap for readiness. Business leaders tasked with innovation and strategy will find that Creating Business Agility provides important insight from an informed perspective.
Download or read book Self-Congruity written by M. Joseph Sirgy and published by Praeger. This book was released on 1986-08-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-Congruity provides a comprehensive understanding of the self-concept, integrating the many references to it in the psychological literature. Using his previous findings, the author considers cognitive-versus-affective phenomena, and intrapersonal, interpersonal, situational, and analytic modes. He then applies his integrated theory to the problem of change in self-concept and behavior.
Author : Publisher :Springer Nature ISBN 13 :946463538X Total Pages :364 pages Book Rating :4.4/5 (646 download)
Download or read book written by and published by Springer Nature. This book was released on with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Big Data by : Viktor Mayer-Schönberger
Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.
Book Synopsis Information Services Today by : Sandra Hirsh
Download or read book Information Services Today written by Sandra Hirsh and published by Rowman & Littlefield. This book was released on 2018-03-02 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition of Information Services Today: An Introduction demonstrates the ever-changing landscape of information services today and the need to re-evaluate curriculum, competency training, and one’s personal learning network in order to stay abreast of current trends and issues, and more significantly, remain competent to address the changing user needs of the information community. Specifically, the book • provides a thorough introduction, history, and overall state of the field, • gives a diverse and global perspective of what it means to be a library and information professional today, • addresses why information organizations and information and technological literacy are more important today than ever before, • discusses how technology has influenced the ways that information professionals provide information resources and services in today’s digital environment, • highlights current issues and trends and provides expert insight into emerging challenges, innovations, and opportunities for the future, and, • identifies career management strategies and leadership opportunities in the information profession. The new edition features chapter updates to address changes in information services, introducing new topics such as strategic planning, change management, design thinking, advocacy, and data management and analysis, and includes new contributing authors. The book begins with an overview of libraries and their transformation as information and technological hubs within their local and digital communities. It covers the various specializations within the field – emphasizing the exciting yet complex roles and opportunities for information professionals in a variety of information environments. With that foundation in place, it presents the fundamentals of information services, delves into management skills needed by information professionals today, and explores emerging issues related to the rapid development of new technologies. The book addresses how libraries and information centers serve different kinds of communities, highlighting the unique needs of increasingly diverse users and how information organizations and information professional’s work to fulfill those needs. This book provokes discussion, critical thinking, and interaction to facilitate the learning process. The content and supplemental materials – discussion questions, rich sets of online accessible materials, multimedia webcast interviews featuring authors from this book discussing the trends and issues in their respective areas, and chapter presentation slides for use by instructors – give readers the opportunity to develop a deeper understanding of and engagement with the topics. Additionally, this book recognizes the broad range of environments that people with Master of Library and Information Science (MLIS) degrees work in, which include both libraries and other information environments. Thus, this book does not only focus on libraries, but instead encompasses ALL kinds of information organizations.
Book Synopsis AI-Centric Modeling and Analytics by : Alex Khang
Download or read book AI-Centric Modeling and Analytics written by Alex Khang and published by CRC Press. This book was released on 2023-12-06 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shares new methodologies, technologies, and practices for resolving issues associated with leveraging AI-centric modeling, data analytics, machine learning-aided models, Internet of Things-driven applications, and cybersecurity techniques in the era of Industrial Revolution 4.0. AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications focuses on how to implement solutions using models and techniques to gain insights, predict outcomes, and make informed decisions. This book presents advanced AI-centric modeling and analysis techniques that facilitate data analytics and learning in various applications. It offers fundamental concepts of advanced techniques, technologies, and tools along with the concept of real-time analysis systems. It also includes AI-centric approaches for the overall innovation, development, and implementation of business development and management systems along with a discussion of AI-centric robotic process automation systems that are useful in many government and private industries. This reference book targets a mixed audience of engineers and business analysts, researchers, professionals, and students from various fields.
Book Synopsis Revolutionizing the AI-Digital Landscape by : Alex Khang
Download or read book Revolutionizing the AI-Digital Landscape written by Alex Khang and published by CRC Press. This book was released on 2024-06-07 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates the growing influence of artificial intelligence in the marketing sphere, providing insights into how AI can be harnessed for developing more effective and efficient marketing strategies. In addition, the book will also offer a comprehensive overview of the various digital marketing tools available to entrepreneurs, discussing their features, benefits, and potential drawbacks. This will help entrepreneurs make well-informed decisions when selecting the tools most suited to their needs and objectives. It is designed to help entrepreneurs develop and implement successful strategies, leveraging the latest tools and technologies to achieve their business goals. As the digital landscape continues to evolve rapidly, this book aims to serve as a valuable resource for entrepreneurs looking to stay ahead of the curve and capitalize on new opportunities. The book's scope encompasses a wide range of topics, including customer experience, content marketing, AI strategy, and digital marketing tools.
