Modern analytics methodologies: driving business value with analytics

This is the Rough Cut version of the printed book.Create a complete roadmap for capitalizing on analytics to grow topline revenue and build shareholder value in your unique organization!

Modern Analytics Methodologies goes far beyond the classic Analytics Maturity Model to help you overcome the gaps between your current analytics capabilities and where you need to go.

Pioneering analytics experts Michele Chambers and Thomas Dinsmore help you implement analytics that supports your strategy, aligns with your culture, and serves your customers and stakeholders.Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities.

Writing for both professionals and students, they show how to:Leverage the convergence of macro trends ranging from flattening and green to Big Data and machine learningGo beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategyLink key business objectives with core characteristics of your organization, value chain, and stakeholdersTake advantage of game changing opportunities before competitors doEffectively integrate the managerial and operational aspects of analyticsMeasure performance with dashboards, scorecards, visualization, simulation, and morePrioritize and score prospective analytics projectsIdentify Quick Wins you can implement while you're planning for the long-termBuild an effective Analytic Program Office to make your roadmap persistent Update and revise your roadmap for new needs and technologiesModern Analytics Methodologies will be an indispensable resource for any executive or professional concerned with analytics, including Chief Analytics Officers; Chief Data Officers; Chief Scientists; Chief Marketing Officers; Chief Risk Officers; Chief Strategy Officers; VPs of Analytics or Big Data; data scientists; business strategists; and line-of-business executives.