Book description
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.
Table of contents
- About This eBook
- Title Page
- Copyright Page
- Dedication Page
- Contents
- Foreword
- Acknowledgments
- About the Authors
- 1. Principles of Modern Analytics
- 2. Business 3.0 Is Here
- 3. Why You Need a Unique Analytics Roadmap
- 4. Analytics Can Supercharge Your Business Strategy
-
5. Building Your Analytics Roadmap
- Overview
- Step 1: Identify Key Business Objectives
- Step 2: Define Your Value Chain
- Step 3: Brainstorm Analytic Solution Opportunities
- Step 4: Describe Analytic Solution Opportunities
- Step 5: Create Decision Model
- Step 6: Evaluate Analytic Solution Opportunities
- Step 7: Establish Analytics Roadmap
- Step 8: Evolve Your Analytics Roadmap
- Summary
- 6. Analytic Applications
- 7. Analytic Use Cases
- 8. Predictive Analytics Methodology
-
9. Predictive Analytics Techniques
- Overview
- Statistics and Machine Learning
- The Impact of Big Data
- Supervised and Unsupervised Learning
- Linear Models and Linear Regression
- Generalized Linear Models
- Generalized Additive Models
- Logistic Regression
- Enhanced Regression
- Survival Analysis
- Decision Tree Learning
- Bayesian Methods
- Neural Networks and Deep Learning
- Support Vector Machines
- Ensemble Learning
- Automated Learning
- Summary
- 10. End User Analytics
- 11. Analytic Platforms
- 12. Attracting and Retaining Analytics Talent
- 13. Organizing Analytics Teams
- 14. What Are You Waiting For? Go Get Started!
- A. Unsupervised Learning: Unsupervised Neural Networks
- Index
Product information
- Title: Advanced Analytics Methodologies: Driving Business Value with Analytics
- Author(s):
- Release date: September 2014
- Publisher(s): Pearson
- ISBN: 9780133498653
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