August 2014
Beginner to intermediate
272 pages
5h 28m
English
book
Modern Analytics Methodologies: Driving Business Value with Analytics
by Michele Chambers, Thomas W. Dinsmore
Overview
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 learning
Go beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategy
Link key business objectives with core characteristics of your organization, value chain, and stakeholders
Take advantage of game changing opportunities before competitors do
Effectively integrate the managerial and operational aspects of analytics
Measure performance with dashboards, scorecards, visualization, simulation, and more
Prioritize and score prospective analytics projects
Identify "Quick Wins" you can implement while you're planning for the long-term
Build an effective Analytic Program Office to make your roadmap persistent
Update and revise your roadmap for new needs and technologies
Modern 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.
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