Understanding the Predictive Analytics Lifecycle (Electronic book text, 1st edition)

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 measureCoverage of the stages of the predictive analytics cycle across different industries and countriesA chapter dedicated to each of the phases of the development of a predictive initiativeA 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.