Synopses & Reviews
Analytics has moved from dusty back offices to the C-suite, from legacy technologies to open source tools and commodity hardware. But if you want value, technology and hype aren’t enough. You need new methodologies that reflect today’s principles of success and link intimately with business strategy.
Michele Chambers and Thomas Dinsmore show how to go beyond “ivory tower” methodologies and systematically refocus analytics on delivering rapid results in production.
They present inspiring case studies of practitioners who are revolutionizing analytics, with specific actionable lessons for your business. You’ll discover how these pioneers are applying analytics to their most entrenched problems and overcoming obstacles that once seemed insurmountable.
Building on these examples, the authors introduce a comprehensive framework for using analytics to unleash hidden value in your business—immediately and for years to come. That’s the promise of analytics—and whether you’re an executive, strategist, marketer, or data scientist, this book will help you achieve it.
Execute Today’s 9 Core Principles of Analytics Success
• Deliver Business Value and Impact
• Focus on the Last Mile
• Leverage Kaizen
• Accelerate Learning and Execution
• Differentiate Your Analytics
• Embed Analytics
• Establish Modern Analytics Architecture
• Build on Human Factors
• Capitalize on Consumerization
MAXIMIZE THE VALUE OF ANALYTICS IN YOUR UNIQUE ORGANIZATION
• Refocus analytics on tangible business value
• Score quick wins… and capture game-changing opportunities
• Harmonize analytics with your business strategy, goals, and culture
• For every executive, strategist, marketer, and data professional concerned with analytics
Most businesses capture a small fraction of the value analytics could create. This book will help you capture far more of it—starting now.
Analytics pioneers Michele Chambers and Thomas Dinsmore reveal nine modern principles for analytics success, show you how to apply them, and help you harmonize them with core business goals. With their guidance, you’ll customize a focused analytical roadmap fully aligned with your strategy, culture, customers, and stakeholders.
Chambers and Dinsmore will help you refocus analytics on speed, urgency, and real results in production. You’ll discover great ways to gain “quick wins” you can build on. Then, you’ll learn how to use the full breadth and combination of available analytics to drive truly game-changing value.
Synopsis
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.
About the Author
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
Section I: Why You Need a Unique Analytics Roadmap 1
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