Eric Siegel

Following in the footsteps of her democratic predecessor, Hillary Clinton’s campaign is leveraging big data and data science for the win. But there’s a story most don’t know: This effort gains traction by predicting each individual voter’s response to campaign contact. A very particular, innovative approach drives millions of decisions as to who got a knock on the door. This data driven process changes the game not only for political campaigns but for marketing campaigns in general.

An award-winning author, former Columbia professor, and founder of the leading event for industry insiders, Predictive Analytics World, Dr. Eric Siegel makes the how and why of predictive analytics understandable and captivating. In his keynote, Siegel steps through how Obama harnessed – and now how Hillary for America is harnessing – this technology to transcend the forecasting of elections (as made famous Nate Silver) to actually influence the results rather than just forecast them. That’s true power.

The excitement over “big data” has grown dramatically. But what is the value, the function, the purpose? The most actionable win to be gained from data is prediction. This is achieved by analytically learning from data how to render predictions for each individual. Such predictions drive more effectively the millions of operational decisions that organizations make every day. In this keynote, Predictive Analytics World founder and Predictive Analytics author Eric Siegel reveals how predictive analytics works, and the ways in which it delivers value to organizations across industry sectors.

Prediction delivers the ultimate payoff by driving millions of more effective, per-customer decisions. But prediction is the ultimate challenge; predictive analytics can use all the help — and all the data — it can get. No data predicts a customer’s behavior like social data: who the customer knows, what sentiment he or she expresses, and which things the customer Likes. In this session, Predictive Analytics World founder and Predictive Analytics author Eric Siegel describes four ways in which predictive analytics drives better business decisions with the use of social data.

“An orange used car is least likely to be a lemon.” At least that’s what was claimed by The Seattle Times, The Huffington Post, The New York Times, NPR, and The Wall Street Journal. However, this discovery has since been debunked as inconclusive. As data gets bigger, so does a common pitfall in the application of standard stats: Testing many predictors means taking many small risks of being fooled by randomness, adding up to one big risk. John Elder calls this issue vast search. In this keynote, PAW founder Eric Siegel will cover this issue and provide guidance on tapping data’s potential without drawing false conclusions.

Prediction is the holy grail of marketing. Foreseeing each customer purchase, click, and cancellation is the ultimate means to drive more effective, per-customer decisions. And today’s enterprise has a wealth of marketing experience from which to learn to predict – aka, data. This learning process is called predictive analytics. In this keynote session, Predictive Analytics author and Predictive Analytics World founder Eric Siegel describes how this technology leverages big data, learning from it in order to drive more effective marketing.

What are the underlying principles that make predictive analytics effective? Why is data predictive, why is imperfect prediction valuable, and what type of prediction succeeds to persuade? You have heard of the butterfly, Doppler, and placebo effects. In this session, PAW founder Eric Siegel covers the Prediction, Data, and Persuasion Effects. Each of these Effects encompasses the fun part of science and technology: an intuitive hook that reveals how it works and why it succeeds.