Practical business analytics using (122 Ergebnisse)

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Paperback. Zustand: Good. "A very rich book sprinkled with real-life examples as well as battle-tested advice.??Pierre Haren, VP ILOG, IBM"James does a thorough job of explaining Decision Management Systems as enablersof a formidable business transformation.??Deepak Advani, Vice President, Business Analytics Products and SPSS, IBMBuild Systems That Work Actively to Help You Maximize Growth and ProfitsMost companies rely on operational systems that are largely passive. But what if you could make your systems active participants in optimizing your business? What if your systems could act intelligently on their own? Learn, not just report? Empower users to take action instead of simply escalating their problems? Evolve without massive IT investments?Decision Management Systems can do all that and more. In this book, the field?s leading expert demonstrates how to use them to drive unprecedented levels of business value. James Taylor shows how to integrate operational and analytic technologies to create systems that are more agile, more analytic, and more adaptive. Through actual case studies, you?ll learn how to combine technologies such as predictive analytics, optimization, and business rules?improving customer service, reducing fraud, managing risk, increasing agility, and driving growth.Both a practical how-to guide and a framework for planning, Decision Management Systems focuses on mainstream business challenges.Coverage includesUnderstanding how Decision Management Systems can transform your business Planning your systems ?with the decision in mind? Identifying, modeling, and prioritizing the decisions you need to optimize Designing and implementing robust decision services Monitoring your ongoing decision-making and learning how to improve it Proven enablers of effective Decision Management Systems: people, process, and technology Identifying and overcoming obstacles that can derail your Decision Management Systems initiative.…

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- Softcover
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Paperback. Zustand: Good. "A very rich book sprinkled with real-life examples as well as battle-tested advice.??Pierre Haren, VP ILOG, IBM"James does a thorough job of explaining Decision Management Systems as enablersof a formidable business transformation.??Deepak Advani, Vice President, Business Analytics Products and SPSS, IBMBuild Systems That Work Actively to Help You Maximize Growth and ProfitsMost companies rely on operational systems that are largely passive. But what if you could make your systems active participants in optimizing your business? What if your systems could act intelligently on their own? Learn, not just report? Empower users to take action instead of simply escalating their problems? Evolve without massive IT investments?Decision Management Systems can do all that and more. In this book, the field?s leading expert demonstrates how to use them to drive unprecedented levels of business value. James Taylor shows how to integrate operational and analytic technologies to create systems that are more agile, more analytic, and more adaptive. Through actual case studies, you?ll learn how to combine technologies such as predictive analytics, optimization, and business rules?improving customer service, reducing fraud, managing risk, increasing agility, and driving growth.Both a practical how-to guide and a framework for planning, Decision Management Systems focuses on mainstream business challenges.Coverage includesUnderstanding how Decision Management Systems can transform your business Planning your systems ?with the decision in mind? Identifying, modeling, and prioritizing the decisions you need to optimize Designing and implementing robust decision services Monitoring your ongoing decision-making and learning how to improve it Proven enablers of effective Decision Management Systems: people, process, and technology Identifying and overcoming obstacles that can derail your Decision Management Systems initiative.…

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hardcover. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

- Softcover
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paperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

- Softcover
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Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

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paperback. Zustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.…

- Softcover
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Paperback. Zustand: Good. Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics.This book will discuss and explore the following through examples and case studies:An introduction to R: data management and R functionsThe architecture, framework, and life cycle of a business analytics projectDescriptive analytics using R: descriptive statistics and data cleaningData mining: classification, association rules, and clustering Predictive analytics: simple regression, multiple regression, and logistic regression This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book.What You Will Learn? Write R programs to handle data? Build analytical models and draw useful inferences from them? Discover the basic concepts of data mining and machine learning ? Carry out predictive modeling? Define a business issue as an analytical problemWho This Book Is ForBeginners who want to understand and learn the fundamentals of analytics using R. Students, managers, executives, strategy and planning professionals, software professionals, and BI/DW professionals.…

- Softcover
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paperback. Zustand: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

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Paperback. Zustand: Good. Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics.This book will discuss and explore the following through examples and case studies:An introduction to R: data management and R functionsThe architecture, framework, and life cycle of a business analytics projectDescriptive analytics using R: descriptive statistics and data cleaningData mining: classification, association rules, and clustering Predictive analytics: simple regression, multiple regression, and logistic regression This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book.What You Will Learn? Write R programs to handle data? Build analytical models and draw useful inferences from them? Discover the basic concepts of data mining and machine learning ? Carry out predictive modeling? Define a business issue as an analytical problemWho This Book Is ForBeginners who want to understand and learn the fundamentals of analytics using R. Students, managers, executives, strategy and planning professionals, software professionals, and BI/DW professionals.…

- Softcover
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paperback. Zustand: Good. 1st ed. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

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paperback. Zustand: New. 1st ed. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

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