Customer And Business Analytics

Author: Daniel S. Putler
Editor: CRC Press
ISBN: 149875970X
Size: 12,78 MB
Format: PDF, ePub
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Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations. The book offers an intuitive understanding of how different analytics algorithms work. Where necessary, the authors explain the underlying mathematics in an accessible manner. Each technique presented includes a detailed tutorial that enables hands-on experience with real data. The authors also discuss issues often encountered in applied data mining projects and present the CRISP-DM process model as a practical framework for organizing these projects. Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities.

Big Data Strategies For Agile Business

Author: Bhuvan Unhelkar
Editor: CRC Press
ISBN: 1351646540
Size: 10,40 MB
Format: PDF, Kindle
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Agile is a set of values, principles, techniques, and frameworks for the adaptable, incremental, and efficient delivery of work. Big Data is a rapidly growing field that encompasses crucial aspects of data such as its volume, velocity, variety, and veracity. This book outlines a strategic approach to Big Data that will render a business Agile. It discusses the important competencies required to streamline and focus on the analytics and presents a roadmap for implementing such analytics in business.

Event History Analysis With R

Author: Göran Broström
Editor: CRC Press
ISBN: 1315360527
Size: 18,83 MB
Format: PDF, ePub, Docs
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With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data, parametric proportional hazards, and accelerated failure times. Features Introduces parametric proportional hazards models with baseline distributions like the Weibull, Gompertz, Lognormal, and Piecewise constant hazard distributions, in addition to traditional Cox regression Presents mathematical details as well as technical material in an appendix Includes real examples with applications in demography, econometrics, and epidemiology Provides a dedicated R package, eha, containing special treatments, including making cuts in the Lexis diagram, creating communal covariates, and creating period statistics A much-needed primer, Event History Analysis with R is a didactically excellent resource for students and practitioners of applied event history and survival analysis.

Modeling Techniques In Predictive Analytics

Author: Thomas W. Miller
Editor: FT Press
ISBN: 0133886190
Size: 12,48 MB
Format: PDF, Kindle
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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 performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. Gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more

Understanding Complex Datasets

Author: David Skillicorn
Editor: CRC Press
ISBN: 9781584888338
Size: 13,64 MB
Format: PDF, ePub, Docs
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Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusses the most common matrix decompositions and shows how they can be used to analyze large datasets in a broad range of application areas. Without having to understand every mathematical detail, the book helps you determine which matrix is appropriate for your dataset and what the results mean. Explaining the effectiveness of matrices as data analysis tools, the book illustrates the ability of matrix decompositions to provide more powerful analyses and to produce cleaner data than more mainstream techniques. The author explores the deep connections between matrix decompositions and structures within graphs, relating the PageRank algorithm of Google's search engine to singular value decomposition. He also covers dimensionality reduction, collaborative filtering, clustering, and spectral analysis. With numerous figures and examples, the book shows how matrix decompositions can be used to find documents on the Internet, look for deeply buried mineral deposits without drilling, explore the structure of proteins, detect suspicious emails or cell phone calls, and more. Concentrating on data mining mechanics and applications, this resource helps you model large, complex datasets and investigate connections between standard data mining techniques and matrix decompositions.

Author: David B. Yoffie
Editor: العبيكان للنشر
ISBN: 9960549704
Size: 10,23 MB
Format: PDF, ePub, Docs
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«لأولئك الذين يريدون فهم إستراتيجية العمل في عصر الإنترنيت، لا بد من قراءة هذا الكتاب. لأولئك الذين يتنافسون في الاقتصاد الجديد، هذا الكتاب هبة عظيمة. لأولئك الذين يستمتعون بالاستعارات، والتحليل العميق، والقصص المذهلة، هذا الكتاب ممتع”. - ريد هنت، الرئيس السابق للجنة الاتصالات الاتحادية، ومؤلف “تقول إنك تريد ثورة: قصة سياسات عصر المعلومات”. “طوّر يوفي وكواك استعارة الجودو لإستراتيجية العمل بطريقة فاعلة وسهلة الفهم. قراءة هذا الكتاب ضرورية لمبتدئين ينافسون ضد شركات تضرب جذورها عميقاً ولشركات قائمة عرضة للهجوم. يتعلم القرّاء بسرعة كيف يمكن لإستراتيجية الجودو، وتتضمن مبادئ الحركة والتوازن والفاعلية واقتصاديات الجودو، أن تقود وافداً جديداً لاحتلال موقع مميز في السوق. كل من يرغب أن يصبح مصارع ثيران بدلاً من أن يكون الثور سيحب هذا الكتاب”. - جورج إم. سي. فيشر، رئيس مجلس الإدارة والرئيس التنفيذي السابق، كوداك وموتورولا. “يصف إستراتيجية الجودو بطريقة مثيرة وممتعة، كيف يمكن التنافس مع خصوم أقوياء. يمكن أن يتعلم كل رجال الأعمال والرأسماليين دروساً ثمينة بشأن كيف يمكن أن تحوّل شركاتهم الناشئة أفضليات طبيعية لشركة كبيرة ضد الشركة نفسها”. - روس سيغلمان، شريك رئيس، كلاينر بيركنز كافيلد وبايرز. “سيكون إستراتيجية الجودو الدليل الجديد لمديرين في صناعات عدّة. الرسالة واضحة وقوية: ينبغي أن يتعلم مديرون أذكياء كيف ينتقون المعارك التي يمكنهم الفوز بها وتفادي مواجهات ضربة-بضربة التي سيخسرونها على الأرجح. يعرض يوفي وكواك طريقة القيام بذلك مع كثير من الأمثلة المذهلة ببساطة”. - مايكل إيه. كوزومانو، أستاذ ورئيس، إم-آي-تي سلوان مانجمنت ريفيو MIT Sloan Management Review، وأحد مؤلفي، أسرار مايكروسوفت. “يصوّر يوفي وكواك بشكل مقنع العمل في عالم الأسواق التنافسية القاسي والمتقلّب بأنه صراع واضح يشبه الجودو لتحقيق الهيمنة. يسردان قصص نجاح عدّة وفشل في الاقتصادين القديم والجديد. قراءة هذا الكتاب ضرورة لازمة لمديرين يبحثون عن طريق إستراتيجي لتحقيق النصر وأولئك الذين يرغبون في الحفاظ على ما كانوا قد حققوه حتى الآن”. - جويل لاين، رئيس مجلس الإدارة والرئيس التنفيذي، بيرتلسمان.