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Sports Performance Measurement And Analytics - The Science Of Assessing Performance, Predicting Future Outcomes, Interpreting Statistical Models, And Evaluating The Market Value Of Athletes

by Lorena Martin

39,19€ + 10% CARD

 A PRACTICAL, REAL-WORLD GUIDE TO ANALYTICS FOR THE 5 MAJOR SPORTS: FOOTBALL, BASKETBALL, BASEBALL, SOCCER, AND TENNIS GAIN A COMPETITIVE EDGE! This is the first real-world guide to building and using analytical models for measuring and assessing performance in the five major sports: football, basketball, baseball, soccer, and tennis. Unlike books that focus strictly on theory, this book brings together sports measurement and statistical analyses, demonstrating how to examine differences across sports as well as between player positions. This book will provide you with the tools for cutting-edge approaches you can extend to the sport of your choice. Expert Northwestern University data scientist, UC San Diego researcher, and competitive athlete, Lorena Martin shows how to use measures and apply statistical models to evaluate players, reduce injuries, and improve sports performance. You’ll learn how to leverage a deep understanding of each sport’s principles, rules, attributes, measures, and performance outcomes. Sports Performance Measurement and Analytics will be an indispensable resource for anyone who wants to bring analytical rigor to athletic competition: students, professors, analysts, fans, physiologists, coaches, managers, and sports executives alike. All data sets, extensive code, and additional examples are available for download at http://www.ftpress.com/martin/ What are the qualities a person must have to become a world-class athlete? This question and many more can be answered through research, measurement, statistics, and analytics. This book gives athletes, trainers, coaches, and managers a better understanding of measurement and analytics as they relate to sports performance. To develop accurate measures, we need to know what we want to measure and why. There is great power in accurate measures and statistics. Research findings can show us how to prevent injuries, evaluate strengths and weaknesses, improve team cohesion, and optimize sports performance. This book serves many readers. People involved with sports will gain an appreciation for performance measures and analytics. People involved with analytics will gain new insights into quantified values representing physical, physiological, and psychological components of sports performance. And students eager to learn about sports analytics will have a practical introduction to the field. This is a thorough introduction to performance measurement and analytics for five of the world’s leading sports. The only book of its kind, it offers a complete overview of the most important concepts, rules, measurements, and statistics for each sport, while demonstrating applications of real-world analytics. You’ll find practical, state-of-the-art guidance on predicting future outcomes, evaluating an athlete’s market value, and more.
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Ecommerce Analytics - Analyze And Improve The Impact Of Your Digital Strategy

by Judah Phillips

47,69€ + 10% CARD

 Today''s Complete, Focused, Up-to-Date Guide to Analytics for Ecommerce <ul> <li>Profit from analytics throughout the entire customer experience and lifecycle</li> <li>Make the most of all the fast-changing data sources now available to you</li> <li>For all ecommerce executives, strategists, entrepreneurs, marketers, analysts, and data scientists</li> </ul> Ecommerce Analytics is the only complete single-source guide to analytics for your ecommerce business. It brings together all the knowledge and skills you need to solve your unique problems, and transform your data into better decisions and customer experiences. Judah Phillips shows how to use analysis to improve ecommerce marketing and advertising, understand customer behavior, increase conversion rates, strengthen loyalty, optimize merchandising and product mix, streamline transactions, optimize product mix, and accurately attribute sales. Drawing on extensive experience leading large-scale analytics programs, he also offers expert guidance on building successful analytical teams; surfacing high-value insights via dashboards and visualization; and managing data governance, security, and privacy. Here are the answers you need to make the most of analytics in ecommerce: throughout your organization, across your entire customer lifecycle.
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Marketing Data Science - Modeling Techniques In Predictive Analytics With R And Python

by Thomas W. Miller

52,44€ + 10% CARD

 Now, a leader of Northwestern University''s prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller''s pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller''s widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: <ul> <li> <div style="MARGIN: 0px"> The role of analytics in delivering effective messages on the web </div></li> <li> <div style="MARGIN: 0px"> Understanding the web by understanding its hidden structures </div></li> <li> <div style="MARGIN: 0px"> Being recognized on the web - and watching your own competitors </div></li> <li> <div style="MARGIN: 0px"> Visualizing networks and understanding communities within them </div></li> <li> <div style="MARGIN: 0px"> Measuring sentiment and making recommendations </div></li> <li> <div style="MARGIN: 0px"> Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics </div></li> </ul> Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text''s extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.
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Sports Analytics And Data Science - Winning The Game With Methods And Models

by Thomas W. Miller

94,06€ + 10% CARD

 TO BUILD WINNING TEAMS AND SUCCESSFUL SPORTS BUSINESSES, GUIDE YOUR DECISIONS WITH DATA This up-to-the-minute reference will help you master all three facets of sports analytics — and use it to win! Sports Analytics and Data Science is the most accessible and practical guide to sports analytics for everyone who cares about winning and everyone who is interested in data science. You’ll discover how successful sports analytics blends business and sports savvy, modern information technology, and sophisticated modeling techniques. You’ll master the discipline through realistic sports vignettes and intuitive data visualizations-not complex math. Every chapter focuses on one key sports analytics application. Miller guides you through assessing players and teams, predicting scores and making game-day decisions, crafting brands and marketing messages, increasing revenue and profitability, and much more. Step by step, you’ll learn how analysts transform raw data and analytical models into wins: both on the field and in any sports business. Whether you’re a team executive, coach, fan, fantasy player, or data scientist, this guide will be a powerful source of competitive advantage… in any sport, by any measure. All data sets, extensive R and Python code, and additional examples available for download at http://www.ftpress.com/miller/ This exceptionally complete and practical guide to sports data science and modeling teaches through realistic examples from sports industry economics, marketing, management, performance measurement, and competitive analysis. Thomas W. Miller, faculty director of Northwestern University’s pioneering Predictive Analytics program, shows how to use advanced measures of individual and team performance to judge the competitive position of both individual athletes and teams, and to make more accurate predictions about their future performance. Miller’s modeling techniques draw on methods from economics, accounting, finance, classical and Bayesian statistics, machine learning, simulation, and mathematical programming. Miller illustrates them through realistic case studies, with fully worked examples in both R and Python. Sports Analytics and Data Science will be an invaluable resource for everyone who wants to seriously investigate and more accurately predict player, team, and sports business performance, including students, teachers, sports analysts, sports fans, trainers, coaches, and team and sports business managers. It will also be valuable to all students of analytics and data science who want to build their skills through familiar and accessible sports applications Gain powerful, actionable insights for: <ul> <li>Understanding sports markets </li> <li>Assessing players </li> <li>Ranking teams</li> <li> Predicting scores </li> <li>Making game day decisions </li> <li>Crafting marketing messages </li> <li>Promoting brands and products </li> <li>Growing revenues </li> <li>Managing finances </li> <li>Playing what-if games </li> <li>And much more</li> </ul>
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Digital Exhaust - What Everyone Should Know About Big Data, Digitization And Digitally Driven Innovation

by Dale Neef

32,57€ + 10% CARD

 Will "Big Data" supercharge the economy, tyrannize us, or both? Data Exhaust is the definitive primer for everyone who wants to understand all the implications of Big Data, digitally driven innovation, and the accelerating Internet Economy. Renowned digital expert Dale Neef clearly explains: <ul> <li> <div style="MARGIN: 0px"> What Big Data really is, and what''s new and different about it </div></li> <li> <div style="MARGIN: 0px"> How Big Data works, and what you need to know about Big Data technologies </div></li> <li> <div style="MARGIN: 0px"> Where the data is coming from: how Big Data integrates sources ranging from social media to machine sensors, smartphones to financial transactions </div></li> <li> <div style="MARGIN: 0px"> How companies use Big Data analytics to gain a more nuanced, accurate picture of their customers, their own performance, and the newest trends </div></li> <li> <div style="MARGIN: 0px"> How governments and individual citizens can also benefit from Big Data </div></li> <li> <div style="MARGIN: 0px"> How to overcome obstacles to success with Big Data - including poor data that can magnify human error </div></li> <li> <div style="MARGIN: 0px"> A realistic assessment of Big Data threats to employment and personal privacy, now and in the future </div></li> </ul> Neef places the Big Data phenomenon where it belongs: in the context of the broader global shift to the Internet economy, with all that implies. By doing so, he helps businesses plan Big Data strategy more effectively - and helps citizens and policymakers identify sensible policies for preventing its misuse. By conservative estimate, the global Big Data market will soar past $50 billion by 2018. But those direct expenses represent just the "tip of the iceberg" when it comes to Big Data''s impact. Big Data is now of acute strategic interest for every organization that aims to succeed - and it is equally important to everyone else. Whoever you are, Data Exhaust tells you exactly what you need to know about Big Data - and what to do about it, too.
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Applied Insurance Analytics - A Framework For Driving More Value From Data Assets, Technologies, And Tools

by Patricia L Saporito

45,82€ + 10% CARD

 Insurers: use analytics to drive far more value from your most important asset -- data! Today, many insurers radically underutilize their data, leaving them vulnerable to traditional and non-traditional competitors alike. Now, drawing on 25 years of industry experience, Patricia Saporito shows how to systematically leverage analytics to improve business performance and customer satisfaction throughout any insurance business. Applied Insurance Analytics demonstrates how to use analytics to systematically improve operations ranging from underwriting and risk management to claims. Even more important: it will help you drive more value everywhere by defining a focused enterprise-wide analytics strategy, and overcoming the challenges that stand in your way. Saporito helps you assess your current analytics maturity, choose the new applications that offer the most value, and master best practices from throughout the industry and beyond. Throughout, she helps you gain more value from data assets, technologies and tools you''ve already invested in. You''ll find new case studies, practical tools, and easy templates for improving the "Analytics IQ" of your entire enterprise. For every insurance industry professional and manager concerned with analytics, including users, IT pros, sales/marketing specialists, and data scientists. This book will also be valuable to students in any MBA or other program focused on insurance or risk management, and to many students in IT or analytics-specific programs.
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Real-World Data Mining - Applied Business Analytics And Decision Making

by Dursun Delen

52,44€ + 10% CARD

 Includes bibliographical references and index.
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Applied Business Analytics - Integrating Business Process, Big Data, And Advanced Analytics

by Nathaniel Lin

42,51€ + 10% CARD

 Bridge the gap between analytics and execution, and actually translate analytics into better business decision-making! Now that you''ve collected data and crunched numbers, Applied Business Analytics reveals how to fully apply the information and knowledge you''ve gleaned from quants and tech teams. Nathaniel Lin explains why "analytics value chains" often break due to organizational and cultural issues, and offers "in the trenches" guidance for overcoming these obstacles. You''ll discover why a special breed of "analytics deciders" is indispensable for any organization that seeks to compete on analytics… how to become one of those deciders… and how to identify, foster, support, empower, and reward others to join you. Lin draws on actual cases and examples from his own experience, augmenting them with hands-on examples and exercises to integrate analytics at all levels: from top-level business questions to low-level technical details. Along the way, you''ll learn how to bring together analytics team members with widely diverse goals, knowledge, and backgrounds. Coverage includes: <ul> <li> <div style="MARGIN: 0px"> How analytical and conventional decision making differ — and the challenging implications </div></li> <li> <div style="MARGIN: 0px"> How to determine who your analytics deciders are, and ought to be </div></li> <li> <div style="MARGIN: 0px"> Proven best practices for actually applying analytics to decision-making </div></li> <li> <div style="MARGIN: 0px"> How to optimize your use of analytics as an analyst, manager, executive, or C-level officer </div></li> </ul> Applied Business Analytics will be invaluable to wide audiences of professionals, decision-makers, and consultants involved in analytics, including Chief Analytics Officers, Chief Data Officers, Chief Scientists, Chief Marketing Officers, Chief Risk Officers, Chief Strategy Officers, VPs of Analytics and/or Big Data, data scientists, business strategists, and line of business executives. It will also be exceptionally useful to students of analytics in any graduate, undergraduate, or certificate program, including candidates for INFORMS certification.
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Building A Digital Analytics Organization - Create Value By Integrating Analytical Processes, Technology, And People Into Business Operations

by Judah Phillips

58,29€ + 10% CARD

 Drive maximum business value from digital analytics, web analytics, site analytics, and business intelligence! In Building a Digital Analytics Organization, pioneering expert Judah Phillips thoroughly explains digital analytics to business practitioners, and presents best practices for using it to reduce costs and increase profitable revenue throughout the business. Phillips covers everything from making the business case through defining and executing strategy, and shows how to successfully integrate analytical processes, technology, and people in all aspects of operations. This unbiased and product-independent guide is replete with examples, many based on the author’s own extensive experience. Coverage includes: key concepts; focusing initiatives and strategy on business value, not technology; building an effective analytics organization; choosing the right tools (and understanding their limitations); creating processes and managing data; analyzing paid, owned, and earned digital media; performing competitive and qualitative analyses; optimizing and testing sites; implementing integrated multichannel digital analytics; targeting consumers; automating marketing processes; and preparing for the revolutionary "analytical economy." For all business practitioners interested in analytics and business intelligence in all areas of the organization.
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Applying Advanced Analytics To Hr Management Decisions - Methods For Selection, Developing Incentives, And Improving Collaboration

by James C. Sesil

42,51€ + 10% CARD

 Dramatically improve human capital management decisions by applying advanced analytics and "Big Data" technologies and processes! Pioneering HR technology expert James Sesil identifies widespread flaws in today''s HR decision-making processes, and reveals how advanced analytics can help organizations make far more robust decisions about employee selection, performance management, strategy alignment, collaboration, and more. In this book he shows how to integrate Business Intelligence, ERP, Strategy Maps, Talent Management Suites, and advanced analytics -- and use them together to make far better decisions. You''ll learn how to measure and improve the value of HCM decision-making in workforce/succession planning, talent acquisition, career development, corporate learning, and beyond. Sesil teaches key lessons from sources ranging from online dating services to Moneyball-style sports player selection processes. He shows how to systematically improve decision-making through more complete and sophisticated collaboration and new Collective Intelligence approaches. You''ll learn how to use both internal and external data sources more effectively, and review a wide variety of advanced tools now available from vendors such as OrcaEyes, Vemo, Aruspex, Peoplefluent, Infor/Lawson, DecisionLens, Oracle, Ultimate, Cogniti, IBM, SAP, and Microsoft. Sesil concludes by demonstrating how to build "data driven" cultures and organizations that truly want to bring objectivity to decision-making, and will actually use these remarkable new tools. This book will be an invaluable resource for every HR executive, manager, analyst, and IT professional seeking new opportunities for competitive advantage through human capital and technological innovation.
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Enterprise Analytics - Optimize Performance, Process, And Decisions Through Big Data

by Thomas H. Davenport

32,57€ + 10% CARD

 "International Institute for Analytics"--Dust jacket.
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Modeling Techniques In Predictive Analytics - Business Problems And Solutions With R, Revised And Expanded Edition

by Thomas W. Miller

51,89€ + 10% CARD

 To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations-not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work-and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate per...
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Power Of People, The - How Successful Organizations Use Workforce Analytics To Improve Business Performance

by Jonathan Ferrar, Nigel Guenole e Sheri Feinzig

30,46€ + 10% CARD

 Learn from Today’s Most Successful Workforce Analytics Leaders Transforming the immense potential of workforce analytics into reality isn’t easy. Pioneering practitioners have learned crucial lessons that can help you succeed. The Power of People shares their journeys—and their indispensable insights. Drawing on incisive case studies and vignettes, three experts help you bring purpose and clarity to any workforce analytics project, with robust research design and analysis to get reliable insights. They reveal where to start, where to find stakeholder support, and how to earn "quick wins" to build upon. You’ll learn how to sustain success through best-practice data management, technology usage, partnering, and skill building. Finally, you’ll discover how to earn even more value by establishing an analytical mindset throughout HR, and building two key skills: storytelling and visualization. The Power of People will be invaluable to HR executives establishing or leading analytics functions; HR professionals planning analytics projects; and any business executive who wants more value from HR.
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Power Of People, The - How Successful Organizations Use Workforce Analytics To Improve Business Performance

by Jonathan Ferrar, Nigel Guenole e Sheri Feinzig

30,46€ + 10% CARD

 Learn from Today’s Most Successful Workforce Analytics Leaders Transforming the immense potential of workforce analytics into reality isn’t easy. Pioneering practitioners have learned crucial lessons that can help you succeed. The Power of People shares their journeys—and their indispensable insights. Drawing on incisive case studies and vignettes, three experts help you bring purpose and clarity to any workforce analytics project, with robust research design and analysis to get reliable insights. They reveal where to start, where to find stakeholder support, and how to earn "quick wins" to build upon. You’ll learn how to sustain success through best-practice data management, technology usage, partnering, and skill building. Finally, you’ll discover how to earn even more value by establishing an analytical mindset throughout HR, and building two key skills: storytelling and visualization. The Power of People will be invaluable to HR executives establishing or leading analytics functions; HR professionals planning analytics projects; and any business executive who wants more value from HR.
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Ecommerce Analytics - Analyze And Improve The Impact Of Your Digital Strategy

by Judah Phillips

47,69€ + 10% CARD

 Ecommerce analytics encompasses specific, powerful techniques for collecting, measuring, analyzing, dashboarding, optimizing, personalizing, and automating data related to online sales and customers. If you participate in the $220 billion ecommerce space, you need expert advice on applying these techniques in your unique environment. Ecommerce Analytics is the only book to deliver the focused, coherent, and practical guidance you’re looking for. Authored by leading consultant and analytics team leader Judah Phillips, it shows how to leverage your massive, complex data resources to improve efficiency, grow revenue, reduce cost, and above all, boost profitability. This landmark guide focuses on using analytics to solve critical problems ecommerce organizations face, from improving brand awareness and favorability through generating demand; shaping digital behavior to accelerating conversion, improving experience to nurturing and re-engaging customers. Phillips shows how to: <ul> <li> <div style="margin: 0px;"> Implement and unify ecommerce analytics related to product, transactions, customers, merchandising, and marketing </div></li> <li> <div style="margin: 0px;"> More effectively measure performance associated with customer acquisition, conversion, outcomes, and business impact </div></li> <li> <div style="margin: 0px;"> Use analytics to identify the tactics that will create the most value, and execute them more effectively </div></li> <li> <div style="margin: 0px;"> Think about and analyze the behavior of customers, prospects, and leads in ecommerce experiences </div></li> <li> <div style="margin: 0px;"> Optimize paid/owned/earned marketing channels, product mix, merchandising, pricing/promotions/sales, browsing/shopping/purchasing, and </div></li> <li> <div style="margin: 0px;"> other ecommerce functions </div></li> <li> <div style="margin: 0px;"> Understand and model attribution </div></li> <li> <div style="margin: 0px;"> Structure and socialize ecommerce teams for success </div></li> <li> <div style="margin: 0px;"> Evaluate the potential impact of technology choices and platforms </div></li> <li> <div style="margin: 0px;"> Understand the implications of ecommerce analytics on customer privacy, life, and society </div></li> <li> <div style="margin: 0px;"> Preview the future of ecommerce analytics over the next 20 years </div></li> </ul>
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Sports Performance Measurement And Analytics - The Science Of Assessing Performance, Predicting Future Outcomes, Interpreting Statistical Models, And Evaluating The Market Value Of Athletes

by Lorena Martin

56,96€ + 10% CARD

 A PRACTICAL, REAL-WORLD GUIDE TO ANALYTICS FOR THE 5 MAJOR SPORTS: FOOTBALL, BASKETBALL, BASEBALL, SOCCER, AND TENNIS GAIN A COMPETITIVE EDGE! This is the first real-world guide to building and using analytical models for measuring and assessing performance in the five major sports: football, basketball, baseball, soccer, and tennis. Unlike books that focus strictly on theory, this book brings together sports measurement and statistical analyses, demonstrating how to examine differences across sports as well as between player positions. This book will provide you with the tools for cutting-edge approaches you can extend to the sport of your choice. Expert Northwestern University data scientist, UC San Diego researcher, and competitive athlete, Lorena Martin shows how to use measures and apply statistical models to evaluate players, reduce injuries, and improve sports performance. You’ll learn how to leverage a deep understanding of each sport’s principles, rules, attributes, measures, and performance outcomes. Sports Performance Measurement and Analytics will be an indispensable resource for anyone who wants to bring analytical rigor to athletic competition: students, professors, analysts, fans, physiologists, coaches, managers, and sports executives alike. All data sets, extensive code, and additional examples are available for download at http://www.ftpress.com/martin/ What are the qualities a person must have to become a world-class athlete? This question and many more can be answered through research, measurement, statistics, and analytics. This book gives athletes, trainers, coaches, and managers a better understanding of measurement and analytics as they relate to sports performance. To develop accurate measures, we need to know what we want to measure and why. There is great power in accurate measures and statistics. Research findings can show us how to prevent injuries, evaluate strengths and weaknesses, improve team cohesion, and optimize sports performance. This book serves many readers. People involved with sports will gain an appreciation for performance measures and analytics. People involved with analytics will gain new insights into quantified values representing physical, physiological, and psychological components of sports performance. And students eager to learn about sports analytics will have a practical introduction to the field. This is a thorough introduction to performance measurement and analytics for five of the world’s leading sports. The only book of its kind, it offers a complete overview of the most important concepts, rules, measurements, and statistics for each sport, while demonstrating applications of real-world analytics. You’ll find practical, state-of-the-art guidance on predicting future outcomes, evaluating an athlete’s market value, and more.
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Sports Analytics And Data Science - Winning The Game With Methods And Models

by Thomas W. Miller

94,06€ + 10% CARD

 This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This up-to-the-minute reference will help you master all three facets of sports analytics — and use it to win! Sports Analytics and Data Science is the most accessible and practical guide to sports analytics for everyone who cares about winning and everyone who is interested in data science. You’ll discover how successful sports analytics blends business and sports savvy, modern information technology, and sophisticated modeling techniques. You’ll master the discipline through realistic sports vignettes and intuitive data visualizations-not complex math. Every chapter focuses on one key sports analytics application. Miller guides you through assessing players and teams, predicting scores and making game-day decisions, crafting brands and marketing messages, increasing revenue and profitability, and much more. Step by step, you’ll learn how analysts transform raw data and analytical models into wins: both on the field and in any sports business.
ENGLISH

Marketing Data Science - Modeling Techniques In Predictive Analytics With R And Python

by Thomas W. Miller

75,51€ + 10% CARD

 Now, a leader of Northwestern University''s prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller''s pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller''s widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: <ul> <li> <div style="MARGIN: 0px"> The role of analytics in delivering effective messages on the web </div></li> <li> <div style="MARGIN: 0px"> Understanding the web by understanding its hidden structures </div></li> <li> <div style="MARGIN: 0px"> Being recognized on the web - and watching your own competitors </div></li> <li> <div style="MARGIN: 0px"> Visualizing networks and understanding communities within them </div></li> <li> <div style="MARGIN: 0px"> Measuring sentiment and making recommendations </div></li> <li> <div style="MARGIN: 0px"> Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics </div></li> </ul> Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text''s extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.
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Web And Network Data Science - Modeling Techniques In Predictive Analytics

by Thomas W. Miller

94,06€ + 10% CARD

 Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today''s managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.
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Real-World Data Mining - Applied Business Analytics And Decision Making

by Dursun Delen

94,06€ + 10% CARD

 Includes bibliographical references and index.
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Applied Business Analytics - Integrating Business Process, Big Data, And Advanced Analytics

by Nathaniel Lin

35,76€ + 10% CARD

 Bridge the gap between analytics and execution, and actually translate analytics into better business decision-making! Now that you''ve collected data and crunched numbers, Applied Business Analytics reveals how to fully apply the information and knowledge you''ve gleaned from quants and tech teams. Nathaniel Lin explains why "analytics value chains" often break due to organizational and cultural issues, and offers "in the trenches" guidance for overcoming these obstacles. You''ll discover why a special breed of "analytics deciders" is indispensable for any organization that seeks to compete on analytics… how to become one of those deciders… and how to identify, foster, support, empower, and reward others to join you. Lin draws on actual cases and examples from his own experience, augmenting them with hands-on examples and exercises to integrate analytics at all levels: from top-level business questions to low-level technical details. Along the way, you''ll learn how to bring together analytics team members with widely diverse goals, knowledge, and backgrounds. Coverage includes: <ul> <li> <div style="MARGIN: 0px"> How analytical and conventional decision making differ — and the challenging implications </div></li> <li> <div style="MARGIN: 0px"> How to determine who your analytics deciders are, and ought to be </div></li> <li> <div style="MARGIN: 0px"> Proven best practices for actually applying analytics to decision-making </div></li> <li> <div style="MARGIN: 0px"> How to optimize your use of analytics as an analyst, manager, executive, or C-level officer </div></li> </ul> Applied Business Analytics will be invaluable to wide audiences of professionals, decision-makers, and consultants involved in analytics, including Chief Analytics Officers, Chief Data Officers, Chief Scientists, Chief Marketing Officers, Chief Risk Officers, Chief Strategy Officers, VPs of Analytics and/or Big Data, data scientists, business strategists, and line of business executives. It will also be exceptionally useful to students of analytics in any graduate, undergraduate, or certificate program, including candidates for INFORMS certification.
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Business Analytics Principles, Concepts, And Applications With Sas - What, Why, And How

by Christopher M. Starkey, Dara G. Schniederjans e Marc J. Schniederjans

70,21€ + 10% CARD

 Learn everything you need to know to start using business analytics and integrating it throughout your organization. Business Analytics Principles, Concepts, and Applications with SAS brings together a complete, integrated package of knowledge for newcomers to the subject. The authors present an up-to-date view of what business analytics is, why it is so valuable, and most importantly, how it is used. They combine essential conceptual content with clear explanations of the tools, techniques, and methodologies actually used to implement modern business analytics initiatives. They offer a proven step-wise approach to designing an analytics program, and successfully integrating it into your organization, so it effectively provides intelligence for competitive advantage in decision making. Using step-by-step examples, the authors identify common challenges that can be addressed by business analytics, illustrate each type of analytics (descriptive, prescriptive, and predictive), and guide users in undertaking their own projects. Illustrating the real-world use of statistical, information systems, and management science methodologies, these examples help readers successfully apply the methods they are learning. Unlike most competitive guides, this text demonstrates the use of SAS software, permitting instructors to spend less time teaching software and more time focusing on business analytics itself. Business Analytics Principles, Concepts, and Applications with SAS will be a valuable resource for all beginning-to-intermediate level business analysts and business analytics managers; for MBA/Masters'' degree students in the field; and for advanced undergraduates majoring in statistics, applied mathematics, or engineering/operations research.
ENGLISH

Digital Exhaust - What Everyone Should Know About Big Data, Digitization And Digitally Driven Innovation

by Dale Neef

58,29€ + 10% CARD

 Will "Big Data" supercharge the economy, tyrannize us, or both? Data Exhaust is the definitive primer for everyone who wants to understand all the implications of Big Data, digitally driven innovation, and the accelerating Internet Economy. Renowned digital expert Dale Neef clearly explains: <ul> <li> <div style="MARGIN: 0px"> What Big Data really is, and what''s new and different about it </div></li> <li> <div style="MARGIN: 0px"> How Big Data works, and what you need to know about Big Data technologies </div></li> <li> <div style="MARGIN: 0px"> Where the data is coming from: how Big Data integrates sources ranging from social media to machine sensors, smartphones to financial transactions </div></li> <li> <div style="MARGIN: 0px"> How companies use Big Data analytics to gain a more nuanced, accurate picture of their customers, their own performance, and the newest trends </div></li> <li> <div style="MARGIN: 0px"> How governments and individual citizens can also benefit from Big Data </div></li> <li> <div style="MARGIN: 0px"> How to overcome obstacles to success with Big Data - including poor data that can magnify human error </div></li> <li> <div style="MARGIN: 0px"> A realistic assessment of Big Data threats to employment and personal privacy, now and in the future </div></li> </ul> Neef places the Big Data phenomenon where it belongs: in the context of the broader global shift to the Internet economy, with all that implies. By doing so, he helps businesses plan Big Data strategy more effectively - and helps citizens and policymakers identify sensible policies for preventing its misuse. By conservative estimate, the global Big Data market will soar past $50 billion by 2018. But those direct expenses represent just the "tip of the iceberg" when it comes to Big Data''s impact. Big Data is now of acute strategic interest for every organization that aims to succeed - and it is equally important to everyone else. Whoever you are, Data Exhaust tells you exactly what you need to know about Big Data - and what to do about it, too.
ENGLISH

Modeling Techniques In Predictive Analytics - Business Problems And Solutions With R, Revised And Expanded Edition

by Thomas W. Miller

94,06€ + 10% CARD

 To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations-not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work-and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate per...
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