Alberto Cordoba

Understanding the Predictive Analytics Lifecycle (eBook, ePUB)

• Format: ePub

Produktbeschreibung

A high-level, informal look at the different stages of the predictive analytics cycle Understanding the Predictive Analytics Lifecycle covers each phase of the development of a predictive analytics initiative. Through the use of illuminating case studies across a range of industries that include banking, megaresorts, mobile operators, healthcare, manufacturing, and retail, the book successfully illustrates each phase of the predictive analytics cycle to create a playbook for future projects. Predictive business analytics involves a wide variety of inputs that include individuals' skills, technologies, tools, and processes. To create a successful analytics program or project to gain forward-looking insight into making business decisions and actions, all of these factors must properly align. The book focuses on developing new insights and understanding business performance based on extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management as input for human decisions. The book includes: * An overview of all relevant phases: design, prepare, explore, model, communicate, and measure * Coverage of the stages of the predictive analytics cycle across different industries and countries * A chapter dedicated to each of the phases of the development of a predictive initiative * A comprehensive overview of the entire analytic process lifecycle If you're an executive looking to understand the predictive analytics lifecycle, this is a must-read resource and reference guide.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 240
• Erscheinungstermin: 30. Juli 2014
• Englisch
• ISBN-13: 9781118938928
• Artikelnr.: 41330833

Autorenporträt

ALBERTO CORDOBA is Director of the SAS Center of Excellence at Truven Health Analytics (formerly the Healthcare Business of Thomson Reuters) where he leads a team of highly-skilled SAS experts. In addition, he provides a leadership role and direct project support for client-sponsored research studies. He is a former Vice President of Business Intelligence and Predictive Analytics at Qualex Consulting Services.

Inhaltsangabe

Foreword xi Preface xiii Acknowledgments xv Chapter 1 Problem
Identification and Definition 1 Importance of Clear Business Objectives 4
Office Politics 8 Note 13 Chapter 2 Design and Build 15 Managing Phase 16
Planning Phase 18 Delivery Phase 19 Notes 32 Chapter 3 Data Acquisition 33
Data: The Fuel for Analytics 36 A Data Scientist's Job 41 Notes 53 Chapter
4 Exploration and Reporting 55 Visualization 57 Cloud Reporting 61 Chapter
5 Modeling 69 Churn Model 71 Risk Scoring Model 77 Notes 99 Chapter 6
Actionable Analytics 101 Digital Asset Management 104 Social Media 104
Chapter 7 Feedback 129 What the Different Software Components Should Do 132
Note 148 Conclusion 149 Appendix: Useful Questions 155 Bibliography 209
About the Author 211 Index 213