Cordoba, Alberto 1958- creator text bibliography Electronic books. Electronic books. nyu 2014 monographic eng

electronic resource

1 online resource. "A high-level, informal look at the different stages of the predictive analytics cycleUnderstanding 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"-- "Covers each phase of the development of a predictive analytics initiative. Through the use of case studies across a range of industries that include banking, megaresorts, mobile operators, healthcare, manufacturing, and retail, the book illustrates each phase of the predictive analytics cycle to create a playbook for future projects"-- Problem identification and definition -- Design and build -- Data acquisition -- Exploration and reporting -- Modeling -- Actionable analytics -- Feedback. Alberto Cordoba. Machine generated contents note: Foreword Preface Acknowledgments Chapter 1 Problem Identification and Definition Importance of Clear Business Objectives Office Politics Note Chapter 2 Design and Build The Managing Phase The Planning Phase The Delivery Phase Notes Chapter 3 Data Acquisition Data: the Fuel for Analytics A Data Scientist's Job Notes Chapter 4 Exploration and Reporting Visualization Cloud Reporting Chapter 5 Modeling Churn Model Risk Scoring Model Notes Chapter 6 Actionable Analytics Digital Asset Management Social Media Chapter 7 Feedback What the Different Software Components Should Do Note Conclusion Appendix: Useful Questions Bibliography About the Author Index . Includes bibliographical references and index. Decision making Statistical methods Forecasting Mathematical models Business planning BUSINESS & ECONOMICS / Decision-Making & Problem Solving Business planning Decision making Statistical methods Forecasting Mathematical models HD30.23 658.4/013 BUS019000 Cordoba, Alberto, 1958- Hoboken, New Jersey : Wiley, 2014 (DLC) 2014013347 9781118938928 (epub) 1118938925 (epub) 9781118938935 (pdf) 1118938933 (pdf) 9781118936740 1118936744 1118867106 9781118867105 9781322024462 1322024464 2014022935 CL0500000490 Safari Books Online http://onlinelibrary.wiley.com/book/10.1002/9781118936740 http://onlinelibrary.wiley.com/book/10.1002/9781118936740 DLC 140611 20171029134631.0 ocn881387969 eng