Modern Analytics Methodologies Driving Business Value with Analytics

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  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2014-08-03
  • Publisher: Ft Pr
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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.

Author Biography

MICHELE CHAMBERS (Charlotte, NC), an entrepreneurial executive with 25 years of technology experience, serves as Chief Strategy Officer at Revolution Analytics, which delivers a commercial, enterprise ready R platform for high performance analytics. There, she is responsible for corporate strategy, product management and product marketing. She was formerly General Manager & Vice President of Big Data Analytics at IBM, where she successfully launched several lines of businesses, including the Advanced Analytic Solutions at Netezza that drove $80M in revenue in just six months. The co-author of Big Data Big Analytics, she holds an MBA from Duke.


THOMAS DINSMORE (Newton, MA) is Director of Product Management at Revolution Analytics. Until recently, he served as Analytics Solution Architect on the IBM Big Data Advanced Analytic Solutions team. Dinsmore has 25+ years of experience in predictive analytics, and has led or contributed to pioneering analytic solutions for organizations including AT&T, Banco Santander, Citbank, Dell, J.C.Penney, Monsanto, Morgan Stanley, Office Depot, Sony, Staples, United Health Group, UBS and Vodafone.

Table of Contents

1. Analytics Can Supercharge Your Business Strategy

2. A Glimpse into the Analytics Era

3. The Analytics Era

4. The Analytics Maturity Model is Dead

5. Analytic Applications

6. Analytic Tools and Methods

7. Analytic Enablers

8. Prerequisites

9. Enumerate Business Activities

10. Identify Analytic Opportunities

11. Detail Analytic Projects

12. Summarize Analytic Projects

13. Prioritize Analytic Projects

14. Quick Wins

15. The Analytic Program Office

16. Measuring Success

17. Updating and Revising the Roadmap

18. Conclusion


How to create a customized, start-to-finish roadmap for driving the full value of analytics in your unique organization

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