| |
Predictive analytics uses statistical techniques to analyze current and historical facts to make predictions about future events. In business, analytics use patterns found in data to identify risks and opportunities and the results are then used to help businesses make informed and beneficial decisions. Predictive analytics is used in a variety of business fields, including, finance, insurance, telecommunications, retail, and healthcare. The Prediction Effect is a functional, practical book that helps readers gain maximal value from predictive analytics as well as learn what is fascinating about the core technology and how it works. The book will deliver a palatable serving of substance regarding the core technology to give executives and managers a concrete sense of how predictive analytics functions.Preface
• What is the occupational hazard of predictive analytics?
• Introduction: The Prediction Effect
• Liftoff! Prediction Takes Action (deployment)
• With Power Comes Responsibility: Hewlett-Packard, Target and the Police Deduce Your Secrets (ethics)
• The Data Effect: A Glut at the End of the Rainbow (data)
• The Machine That Learns: A Look inside Chase`s Prediction of Mortgage Risk (modeling)
• The Ensemble Effect: Netflix, Crowdsourcing, and Supercharging Prediction (ensembles)
• Watson and the Jeopardy! Challenge (question answering)
• Persuasion by the Numbers: How Telenor, U.S. Bank and the Obama Campaign Engineered Influence (uplift)
• Afterword
• Ten Predictions for the First Hour of 2020
• Appendices
• Five Effects of Prediction
• Twenty-One Applications of Predictive Analytics
• Prediction People--Cast of "Characters"
• Notes
• Acknowledgments
• About the Author
• Index .ISBN - 9788126547999
|
| |
Pages : 320
|