PRAISE FOR UNDERSTANDING THE PREDICTIVE ANALYTICS LIFECYCLE
This is a must–read book for businesses that are planning to take advantage of their massive data collections and build predictive models. It shows examples and gives guidance on how to avoid the most common pitfalls to reach a successful outcome.
Carmelina Collado, Directeur des Programmes & Transformation, inwi
I am glad to see that there is a book that shows the entire cycle, the entire evolution, for big data to turn into valuable and actionable information using advanced software analytical tools in today s world!
Clive Pearson, CEO, Qualex Consulting Services
In this book, Al Cordoba has provided a complete picture of the advanced analytics process and how it contributes to business value. Al s years of experience in helping organizations worldwide give this book valuable insight and recommendations that business and IT professionals can heed.
Jeff Babcock, Senior Vice President and General Manager, Kronos
We live in a world where data are more prevalent than ever. Al s book uses plain language and stories as a way to present sophisticated technology subjects like data integration and advanced analytics.
Rob Berman, Vice President of Global Alliances, Teradata
With rapid datafication of everything around us there is tremendous opportunity for enterprises to get new differentiated actionable business value. Advanced analytics is key to delivering such business value. In this book, Al Cordoba has provided a complete 360–degree view of the advanced analytics process and has made it easy to understand through many examples. I would recommend this book to all the executives.
Gokula Mishra, Vice President of Advanced Analytics & Big Data, Oracle; Co–Author of The Oracle Big Data Handbook
Chapter 1 Problem Identification and Definition 1
Importance of Clear Business Objectives 4
Office Politics 8
Chapter 2 Design and Build 15
Managing Phase 16
Planning Phase 18
Delivery Phase 19
Chapter 3 Data Acquisition 33
Data: The Fuel for Analytics 36
A Data Scientist s Job 41
Chapter 4 Exploration and Reporting 55
Cloud Reporting 61
Chapter 5 Modeling 69
Churn Model 71
Risk Scoring Model 77
Chapter 6 Actionable Analytics 101
Digital Asset Management 104
Social Media 104
Chapter 7 Feedback 129
What the Different Software Components Should Do 132
Appendix: Useful Questions 155
About the Author 211