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Insights From Data Science Giants ahead of PAW NYC, Oct 23-27


PAW for Business, PAW Financial and PAW Healthcare will take place in NYC, Oct 23-27, Get early insight from the presenters from these in-depth interviews, and use code KDNPAW150 to save.




The countdown is on for Predictive Analytics World for Business, and the co-located PAW Financial and PAW Healthcare events, October 23-27, 2016 at the Jacob Javits Center in New York. Gain some early insight from the presenters now by checking out these in-depth interviews.

Over 30 speakers are lined up to deliver on the promise of data science with tools and techniques that you can apply right away.

Gary Neights
Senior Director at Elemica
Q: How does predictive analytics deliver value at your organization? What is one specific way in which it actively drives decisions?
Gary:
Supply chain decisions have financial impact and need to be taken in near real-time. Product-by-product and plant-by-plant predictions can lead to information overload and indecision. For example, if rail cars to a manufacturing site are predicted to be late do I dispatch trucks as a rush shipments... or dip into safety stock? If trucks, how many? Over the long-term data may be analyzed systematically and accounted for during periodic planning cycles or contract renegotiations.
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Brian Reich
Director at
The Hive

Q: Please tell us a take-away that you will provide during your talk at Predictive Analytics World.
Brian:
We knew that the traditional methods and messages wouldn't be enough to get new potential supporters engaged. It was clear that Americans cared about helping refugees, but we needed to know more so we could determine how to get people more involved, to take more meaningful actions. We used our data models, plus survey research and rapid-response message testing, to experiment with different efforts we thought could be most effective, and learn the most in the shortest period of time. And it paid off in a big way.
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Dean Abbott
Co-Founder and Chief Data Scientist of SmarterHQ
Q: In your work with predictive analytics, what behavior do your models predict?
Dean:
I've built models that predict a wide variety of behaviors and patterns. A short list is provided here:
  • Customer behavior: response, churn, product up-sell and cross-sell, best marketing creative, days to next purchase, days to next visit;
  • Signals (radar): tank, truck column of tanks; (sonar): man-made vs. biologic;
  • Financial: fraud or suspicion of fraud, debt repayment period, debt repayment amount, insurance claim repayment likelihood, claim amount of repayment.
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To gain insight from these knowledgeable speakers, join them at PAW Business New York, October 23-27. The full agenda is packed with many more expert speakers, keynotes, exhibitors, networking opportunities, workshops, and more.

Register today and save an additional $150 with code KDNPAW150.



PAW Business New York is co-located with PAW Healthcare, PAW Financial Services, eMetrics Summit, and Predictive Analytics Times Executive Breakfast.

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