
Modern Analytics Methodologies
Description
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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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Persons
Thomas W. Dinsmore is the Director of Product Management for Revolution Analytics. Previously, he served as an Analytics Solution Architect for IBM Big Data, SAS Consulting, and PricewaterhouseCoopers. Thomas has helped more than 500 enterprises around the world use analytics more effectively. He uniquely combines hands-on skill in predictive analytics with business, organization, and technology experience.
Content
Chapter 1: Principles of Modern Analytics 3
Chapter 2: Business 3 0 Is Here Now 19
Chapter 3: Why You Need a Unique Analytics Roadmap 23
Section II: The Analytics Roadmap 29
Chapter 4: Analytics Can Supercharge Your Business Strategy 31
Chapter 5: Building Your Analytics Roadmap 57
Chapter 6: Analytic Applications 87
Chapter 7: Analytic Use Cases 105
Chapter 8: Predictive Analytics Methodology 123
Chapter 9: End-User Analytics 153
Chapter 10: Analytic Platforms 173
Section III: Implement Your Analytics Roadmap 203
Chapter 11: Attracting and Retaining Analytics Talent 205
Chapter 12: Organizing Analytics Teams 233
Chapter 13: What Are You Waiting For? Go Get Started! 243
Index 247
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File format: ePUB
Copy protection: Watermark-DRM (Digital Rights Management)
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