Search results for: business-and-consumer-analytics-new-ideas

Business and Consumer Analytics New Ideas

Author : Pablo Moscato
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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
File Size : 66.17 MB
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Consumer Behaviour and Analytics provides a consumer behaviour textbook for the new marketing reality. In a world of Big Data, machine learning and AI, 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 or a supplementary text for other marketing modules.

Business Innovation Insights Collection

Author : Luke M. Williams
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An up-to-the-minute collection of techniques for jumpstarting innovation in any market, product, service, or process Hot new ideas for supercharging business innovation in any market, right now: 4 extraordinary books from world-renowned pioneers in all facets of innovation! This 4-book package brings together today’s fastest, most powerful, most realistic solutions for jumpstarting innovation -- whatever you sell, whatever industry you’re in! You’ll discover how to change the playing field, leverage your customers’ insights and expertise, uncover huge unmet needs, craft great customer experiences, and make innovation repeatable throughout your organization. In Predictable Magic, veteran industrial designer Ravi Sawhney and business strategist Deepa Prahalad introduce a breakthrough approach for systematically creating deep emotional connections between consumers and brands… seamlessly integrating corporate strategy with design… transcending the utilitarian (or even the “beautiful”) to build products that powerfully connect, touch, and move people... again and again! Next, in Do You Matter?, legendary industrial designer Robert Brunner (who laid the groundwork for Apple’s brilliant design language) and Stewart Emery help you use design to consistently create products, services, and experiences that matter to customers’ lives -- and thereby drive powerful, sustainable improvements in business performance. Through case studies from leaders like Nike, Apple, BMW and IKEA, they introduce design-driven techniques for managing your entire experience chain… defining effective design strategies and languages… managing design… using (and not abusing) research… extending design values into marketing and manufacturing… encouraging design innovations that open entirely new markets! Then, in Disrupt: Think the Unthinkable to Spark Transformation in Your Business, frog design’s Luke Williams shows how to start generating (and executing on) a steady stream of disruptive strategies and unexpected solutions. Williams combines the fluid creativity of "disruptive thinking" with the analytical rigor that’s indispensable to business success. The result: a simple yet complete five-stage process for imagining a powerful market disruption, and transforming it into a reality that catches your entire industry by surprise. Finally, in the highly-anticipated Second Edition of Creating Breakthrough Products: Revealing the Secrets that Drive Global Innovation, Jonathan Cagan and Craig Vogel offer an indispensable roadmap for uncovering new opportunities, identifying what customers really value today, and building products and services that transform markets. This edition contains brand-new chapters on service design and global innovation, new insights and best practices, and new case studies ranging from Navistar’s latest long-haul truck to P&G’s reinvention of Herbal Essence. You know how crucial innovation has become… this 4 book package will help you infuse it throughout your entire organization! From world-renowned business innovation experts Deepa Prahalad, Ravi Sawhney, Robert Brunner, Stewart Emery, Russ Hall, Luke Williams, Jonathan Cagan, and Craig M. Vogel

Leading Lean

Author : Jean Dahl
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Companies from startups to corporate giants face massive amounts of disruption today. Now more than ever, organizations need nimble and responsive leaders who know how to exploit the opportunities that change brings. In this insightful book, Jean Dahl, a senior executive and expert in the Lean mindset and its methods, demonstrates why you need to embrace Modern Lean principles and thinking to redefine leadership in this age of digital disruption in order to continuously evolve the Lean enterprise. Drawing on nearly three decades of corporate and consulting experience, Ms. Dahl lays out a new holistic framework for developing Modern Lean leaders. Through personal experiences and compellingreal-world case studies, she explains specific steps necessary for you and your company to proactively understand and respond to change. Understand the leadership challenges Lean leaders face in our 21st century global economy Explore the six dimensions of the Modern Lean Framework™ Learn and apply the nine steps necessary to become a Lean leader Use Modern Lean methods to build a culture of continuous learning that can be sustained and maintained within your organization Seize competitive advantage by embracing Modern Lean to tbuild an enterprise that understands how to respond to disruption

Data Analytics in Marketing Entrepreneurship and Innovation

Author : Mounir Kehal
File Size : 66.99 MB
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Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at: Business analytics Applying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analytics Developing new products Technopreneurship Disruptive versus incremental innovation The book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.

Principles of Marketing Engineering and Analytics 3rd Edition

Author : Gary L. Lilien
File Size : 84.87 MB
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We have designed this book primarily for the business school student or marketing manager, who, with minimal background and technical training, must understand and employ the basic tools and models associated with Marketing Engineering. The 21st century business environment demands more analysis and rigor in marketing decision making. Increasingly, marketing decision making resembles design engineering—putting together concepts, data, analyses, and simulations to learn about the marketplace and to design effective marketing plans. While many view traditional marketing as art and some view it as science, the new marketing increasingly looks like engineering (that is, combining art and science to solve specific problems). We offer an accessible overview of the most widely used marketing engineering concepts and tools and show how they drive the collection of the right data and information to perform the right analyses to make better marketing plans, better product designs, and better marketing decisions. ** The latest edition includes up-to-date examples and references as well as a new chapter on the digital online revolution in marketing and its implications for online advertising. In addition, the edition now incorporates some basic financial concepts (ROI, Breakeven Analysis, and Opportunity Cost) and other tools essential to the new domain of marketing analytics. **

Listen First

Author : Stephen D. Rappaport
File Size : 66.27 MB
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Provides proven, state-of-the-art social marketing strategies and tactics from the Advertising Research Foundation to help companies listen to what customers are saying online about their brand or product and how to participate in the conversation.

Lean Analytics

Author : Alistair Croll
File Size : 20.4 MB
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Whether you’re a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you’ll know it’s time to move forward Apply Lean Analytics principles to large enterprises and established products

Basic Marketing

Author : William D. Perreault, Jr.
File Size : 77.56 MB
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Basic Marketing 16e builds on the foundation pillars of previous editions – the four Ps framework, managerial orientation, and strategy planning focus. 16e builds upon its pioneering beginnings that introduced the “four Ps” to the introductory marketing course. The unifying focus of Basic Marketing has always been on how to make the marketing decisions that a manager must make in deciding what customers to focus on and how best to meet their needs. Over many editions there has been constant change in marketing management and the marketing environment. Some of the changes have been dramatic, and others have been subtle. As a result, the authors have made ongoing changes to the text to reflect marketing’s best practices and ideas. Throughout all of these changes, Basic Marketing and the supporting materials that accompany it have been more widely used than any other teaching materials for introductory marketing. Consistent with our belief in continuous quality improvement, this edition has been critically revised, updated, and rewritten to reflect new concepts, new examples, and recent “best practices.” This edition extends the strategy planning approach, integrating concepts tightly with the marketing strategy planning model.

GreenBook

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File Size : 53.1 MB
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Product Analytics

Author : Joanne Rodrigues-Craig
File Size : 67.17 MB
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Product Analytics bridges the divide between high-value business insights and today's best statistics and machine learning techniques, offering practical qualitative and quantitative techniques to generate actionable insight into customer behavior. Experienced data scientist and enterprise manager Joanne Rodrigues-Craig presents statistical techniques to determine why things happen, and how to change what people do at scale. She complements these with the social sciences' most useful qualitative techniques for creating better theories, designing better metrics, and driving more rapid and sustained behavior change. You'll learn through intuitive examples from both web products and "real life," including numeric examples illuminating hypothesis testing, regression, and other statistical techniques. Discover how to: Think like a social scientist to contextualize individual behavior in social environments, explore how human behavior develops, and establish the conditions for change Develop core metrics and effective KPIs for user analytics in any web product Understand statistical inference, the differences between correlation and causation and when to apply each technique Conduct more effective A/B tests Build intuitive predictive models to capture user behavior in product Using the latest quasi-experimental design techniques and statistical matching tease out causal effects from observational data Implement sophisticated targeting methods like uplift modeling for marketing campaigns Project business costs/subgroup population changes by using advanced demographic projection methods Do all this in R (sample code available in a separate code manual).

Green Book

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File Size : 53.22 MB
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Strategy Business

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File Size : 24.85 MB
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Principles of Marketing Engineering

Author : Gary L. Lilien
File Size : 27.74 MB
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Marketing engineering blends the scientific rigor of marketing analytics with the craft of traditional marketing to create the 21st Century tools for marketing decision making

The Lean Entrepreneur

Author : Brant Cooper
File Size : 43.7 MB
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Overflowing with information that can help businesses at all levels of development, this must-have resource, presenting a lexicon of concepts and a universally applicable road to success, features case studies, illustrative graphics, worksheets and exercises to create an innovative business. (This book was previously listed in Forecast.) Original.

Banking Strategies

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Entertainment Science

Author : Thorsten Hennig-Thurau
File Size : 71.52 MB
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The entertainment industry has long been dominated by legendary screenwriter William Goldman’s “Nobody-Knows-Anything” mantra, which argues that success is the result of managerial intuition and instinct. This book builds the case that combining such intuition with data analytics and rigorous scholarly knowledge provides a source of sustainable competitive advantage – the same recipe for success that is behind the rise of firms such as Netflix and Spotify, but has also fueled Disney’s recent success. Unlocking a large repertoire of scientific studies by business scholars and entertainment economists, the authors identify essential factors, mechanisms, and methods that help a new entertainment product succeed. The book thus offers a timely alternative to “Nobody-Knows” decision-making in the digital era: while coupling a good idea with smart data analytics and entertainment theory cannot guarantee a hit, it systematically and substantially increases the probability of success in the entertainment industry. Entertainment Science is poised to inspire fresh new thinking among managers, students of entertainment, and scholars alike. Thorsten Hennig-Thurau and Mark B. Houston – two of our finest scholars in the area of entertainment marketing – have produced a definitive research-based compendium that cuts across various branches of the arts to explain the phenomena that provide consumption experiences to capture the hearts and minds of audiences. Morris B. Holbrook, W. T. Dillard Professor Emeritus of Marketing, Columbia University Entertainment Science is a must-read for everyone working in the entertainment industry today, where the impact of digital and the use of big data can’t be ignored anymore. Hennig-Thurau and Houston are the scientific frontrunners of knowledge that the industry urgently needs. Michael Kölmel, media entrepreneur and Honorary Professor of Media Economics at University of Leipzig Entertainment Science’s winning combination of creativity, theory, and data analytics offers managers in the creative industries and beyond a novel, compelling, and comprehensive approach to support their decision-making. This ground-breaking book marks the dawn of a new Golden Age of fruitful conversation between entertainment scholars, managers, and artists. Allègre Hadida, Associate Professor in Strategy, University of Cambridge

Harvard Business Review

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Journal of Banking Financial Services

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Predictive Marketing

Author : Omer Artun
File Size : 76.61 MB
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Marketers have long been talking about delivering personalized experiences across channels. All marketers want to deliver happiness. In reality most marketers still practice one-size-fits-all marketing. Predictive analytics can finally make personalized marketing a reality – by making it easy and automated. Predictive marketing is for the first time accessible to all marketers, not just to those at large corporations. In fact, many smaller organizations are leap-frogging their larger counterparts with innovative programs. This book will offer marketers in organizations large and small a great primer of “predictive analytics for marketers” as well as practical tips and strategies to get started immediately. The book will feature many success stories from across the customer lifecycle: how to use machine-learning technologies to improve customer acquisition, customer growth and how to identify and re-engage customers at risk or lapsed customers.