Advanced analytics methodologies : driving business value with analytics
- Michele Chambers, Thomas W. Dinsmore.
- Upper Saddle River, N.J. : Pearson Education, c2015.
- Physical description
- xi, 324 p. : ill. ; 24 cm
At the library
Science Library (Li and Ma)
|HF5691 .C42 2015||Unknown|
- Includes bibliographical references (p. 310-311) and index.
- Chapter 1: Principles of Modern Analytics
- Chapter 2: Business 3.0 Is Here
- Chapter 3: Why You Need a Unique Analytics Roadmap
- Chapter 4: Analytics Can Supercharge Your Business Strategy
- Chapter 5: Building Your Analytics Roadmap
- Chapter 6: Analytic Applications
- Chapter 7: Analytic Use Cases
- Chapter 8: Predictive Analytics Methodology
- Chapter 9: Predictive Analytics Techniques
- Chapter 10: End User Analytics
- Chapter 11: Analytic Platforms
- Chapter 12: Attracting and Retaining Analytics Talent
- Chapter 13: Organizing Analytics Teams
- Chapter 14: What Are You Waiting For? Go Get Started!
- 293 Appendix A: Unsupervised Learning: Unsupervised Neural Networks
- 297 Index 313.
- (source: Nielsen Book Data)
Advanced Analytics Methodologies is today's definitive guide to analytics implementation for MBA and university-level business students and sophisticated practitioners. Its expanded, cutting-edge coverage helps readers systematically "jump the gap" between their organization's current analytical capabilities and where they need to be. Step by step, Michele Chambers and Thomas Dinsmore help readers customize a complete roadmap for implementing analytics that supports unique corporate strategies, aligns with specific corporate cultures, and serves unique customer and stakeholder communities. Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore provide advanced applications and examples not available elsewhere, describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. They show how to: * 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 This advanced text will serve the needs of students and faculty studying cutting-edge analytics techniques, as well as experienced analytics leaders and professionals 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 many line-of-business executives.
(source: Nielsen Book Data)
- Publication date
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