Understanding the Predictive Analytics Lifecycle - Rilegato

Cordoba, Alberto

Rilegato

ISBN 10: 1118867106 ISBN 13: 9781118867105

Casa editrice: John Wiley & Sons Inc, 2014

Riassunto

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.

Su questo libro

Informazioni sull?autore

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.

Dalla quarta di copertina

Understanding the Predictive Analytics Lifecycle offers chief analytics officers and other business leaders a clear understanding of the skills, technologies, tools, and processes for applying continuous analysis of past business performance in order to gain forward-looking insight that can drive informed business decisions and actions. Written by Alberto Cordoba—an expert on the topic of predictive analytics—this important resource explores the development of a successful predictive analytics initiative and reveals how to avoid the potential pitfalls. To bring the process to life, the book is filled with illustrative case studies across a range of international industries that include banking, megaresorts, mobile operators, healthcare, manufacturing, and retail. The examples of problem solving presented are made possible by using the progressive power of information technologies that were only recently mastered in the past twenty years. Filled with expert advice and a healthy splash of humor, Understanding the Predictive Analytics Lifecycle clarifies each phase of the predictive analytics cycle to offer a playbook for future projects.

Throughout the book, Alberto Cordoba puts the spotlight on developing an understanding of business performance based on the extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management as the foundation for human decision-making. As he explains, all too often those who work in a particular area of the analytics cycle have little understanding of other critical areas in the process. To bring into focus the overall lifecycle, the book includes a comprehensive review of the seven relevant phases of the analytical process: identify the problem, design and build, data acquisition, explore and report, model, actionable analytics, and feedback.

Understanding the Predictive Analytics Lifecycle shows how organizations can manage the big and complex process of deriving productivity and innovation in order to excel at providing an outstanding customer experience, manage customer churn, and successfully execute data-driven marketing campaigns.

Dal risvolto di copertina interno

Understanding the Predictive Analytics Lifecycle offers chief analytics officers and other business leaders a clear understanding of the skills, technologies, tools, and processes for applying continuous analysis of past business performance in order to gain forward-looking insight that can drive informed business decisions and actions. Written by Alberto Cordoba an expert on the topic of predictive analytics this important resource explores the development of a successful predictive analytics initiative and reveals how to avoid the potential pitfalls. To bring the process to life, the book is filled with illustrative case studies across a range of international industries that include banking, megaresorts, mobile operators, healthcare, manufacturing, and retail. The examples of problem solving presented are made possible by using the progressive power of information technologies that were only recently mastered in the past twenty years. Filled with expert advice and a healthy splash of humor, Understanding the Predictive Analytics Lifecycle clarifies each phase of the predictive analytics cycle to offer a playbook for future projects.

Throughout the book, Alberto Cordoba puts the spotlight on developing an understanding of business performance based on the extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management as the foundation for human decision-making. As he explains, all too often those who work in a particular area of the analytics cycle have little understanding of other critical areas in the process. To bring into focus the overall lifecycle, the book includes a comprehensive review of the seven relevant phases of the analytical process: identify the problem, design and build, data acquisition, explore and report, model, actionable analytics, and feedback.

Understanding the Predictive Analytics Lifecycle shows how organizations can manage the big and complex process of deriving productivity and innovation in order to excel at providing an outstanding customer experience, manage customer churn, and successfully execute data-driven marketing campaigns.

Dettagli dell'edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 1118867106
• ISBN 13: 9781118867105
• Rilegatura: Copertina rigida
• Numero di pagine: 240
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile