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TDWI Chicago Special Offer – Respond by Apr 17

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A special invitation and discount for you and your team to attend TDWI Chicago, May 3-8. Join leading industry experts, analysts, practitioners, and solution providers who deliver a world-class education program.



TDWI Chicago May 3-8, 2015

TDWI Chicago is Just Around the Corner!



We’d like to extend a special invitation and discount for you and your team to attend.



From May 3–8 at the Chicago Hilton, TDWI is bringing together leading industry experts, analysts, practitioners, and solution providers to deliver a world-class education program. TDWI Chicago will help you:

  • Adapt your existing BI architecture and environment to gracefully accommodate proliferating data sources and big data
  • Create a road map to evolve your data ecosystem to meet the needs of expanding data volumes and types
  • Understand the full scope of Hadoop tools and know when and how to use each of them to meet your data management objectives
  • Apply data visualization and advanced analytics techniques to achieve maximum value and real business impact from your data assets
  • Anticipate and prepare for business innovation with cloud analytics, mobility, and the Internet of things

 


View the full agenda, and information about pricing and registration.



We have a special offer just for you:



GROUP DISCOUNT FOR TEAMS OF 3 OR MORE
25% off conference pricing when you register by April 17* (Use Priority Code CH1230)

INDIVIDUAL DISCOUNT**
An additional 15% off our Early Registration pricing when you register by April 17 (Use Priority Code EXTRA15)

We hope you can join us this May at TDWI Chicago. If you have any questions on the program, please contact us at education@tdwi.org.



 

 

Register by APRIL 17

to take advantage of your offer!

 

Download the e-brochure

TDWI Chicago 2015 Brochure







*Team registrations must be submitted together to receive the group discount


** Discounts for both Group and Individuals are valid on NEW registrations only

TDWI Advancing all things data.

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