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Predictive Analytics World for Business

September 27, 2015 @ 8:00 am - October 1, 2015 @ 5:00 pm

Predictive Analytics World for Business, Sept. 27 – Oct. 1, 2015 in Boston, provides a comprehensive and hands-on experience of the advanced analytics methodology. This conference covers hot topics such as R for predictive modeling, big data, cloud analytics, marketing attribution, project risk assessment, uplift modeling, workforce analytics and much more.

What’s on the Agenda?

  • 30+ sessions focused on predictive analytics in the industries of business, insurance, retail, workforce, education and more
  • 30+ speakers from Elder Research, Inc., Merkle Inc., EMC, Talent Analytics, Corp., Verizon, Metlife, State Street Corp.
  • 20+ case studies from American Savings Bank, Telenor, Johnson Controls, Halliburton, Travelers, Fidelity, Paychex
  • 7 training workshops diving into big data, R, predictive modeling, hands-on methods, & supercharging prediction
  • 3 tracks to focus your learning: All Levels, Expert/Practitioner, and Financial Services
  • Networking during at the exhibit hall, reception, breaks

Why Attend?

Improve your predictive analytics proficiency to achieve:

  • Bigger wins - Strengthen the impact of predictive analytics deployment
  • Broader capabilities - Establish new opportunities in data science
  • Big data - Leverage bigger data for prediction and drive bigger value

 Discover best practices to get predictive modeling off the ground and into orbit. Register now to unlock the secrets!

Event Venue:

Seaport World Trade Center

200 Seaport Boulevard,

Boston, MA 02210

(617) 385-5000

Details

Start:
September 27, 2015 @ 8:00 am
End:
October 1, 2015 @ 5:00 pm
Event Category:

Organizer

Rising Media, Inc

Venue

Boston
MA United States + Google Map

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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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