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MARC状态:审校 文献类型:西文图书 浏览次数:10

题名/责任者:
Understanding the predictive analytics lifecycle / Alberto Cordoba.
出版发行项:
Hoboken, New Jersey : Wiley, 2014.
ISBN:
9781118867105 (hardback)
载体形态项:
240 pages ; 24 cm
丛编说明:
Wiley and SAS business series
个人责任者:
Cordoba, Alberto, 1958-
论题主题:
Decision making-Statistical methods.
论题主题:
Forecasting-Mathematical models.
论题主题:
Business planning.
中图法分类号:
C93
书目附注:
Includes bibliographical references and index.
摘要附注:
"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 an executive looking to understand the predictive analytics lifecycle, this is a must-read resource and reference guide"--
摘要附注:
"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"--
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