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Predictive Analytics World for Business

June 8, 2015 @ 8:00 am - June 11, 2015 @ 5:00 pm

Predictive Analytics World for Business

Dates: June 8-11, 2015 in Chicago

Are you looking for a pot of gold’s worth of predictive analytics strategies? Sign up for Predictive Analytics World for Business in Chicago and stand out like a four-leafed clover, expertly deploying predictive analytics to gain unique business value.

Gain more than luck with these sessions:

  • The Revolution in Retail Customer Intelligence
  • UPS Analytics – The Road to Optimization
  • Establishing Value: the “Marking Impact Through Analytics” Framework
  • Top Five Technical Tricks to Try when Trapped
  • Education and Training Options for Predictive Analytics
  • Sessions on insurance, advanced methods, fraud detection, marketing analytics, uplift modeling, best practices, sales analytics and much more

Check out the complete agenda

Past attendees have struck gold

"Predictive Analytics World is a hotbed of the best data scientists in the world where you get to see the state of the art application of the technologies."

"The sessions were extremely substantive and the speakers authoritative. Predictive Analytics World was head-and-shoulders above most other business conferences I've attended."

"Predictive Analytics World is an excellent investment. You will pick up practical tips and techniques from practitioners and learn how 'analytics is done right' from those on the leading edge. It's great to network with people from many different backgrounds and learn about their approaches (and challenges) to tackling the Big Data problem."

Venue: Hilton Chicago, 720 South Michigan Avenue, Chicago, Illinois, 60605, USA

Register here


June 8, 2015 @ 8:00 am
June 11, 2015 @ 5:00 pm
Event Category:


Rising Media, Inc


Hilton Chicago
720 South Michigan Avenue
Chicago, IL United States
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More Information on Predictive Analysis Process

Predictive Analytics Process Flow

For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.

Top predictive analytics software and Top predictive analytics open source software.

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