Past event: DATA Analytics Week 2014

Meet the Intelligence Demand & Accelerate the Discovery of Actionable Business Insights

We know analytics career professionals, the quants and statisticians, are pressured to deliver real-time insights. Yet demand for their time is greater than availability and often they spend more time reporting than analyzing….where the true golden nuggets are found. In addition, there is a new expectation for business leaders everywhere to gain the analytical skills to perform these tasks themselves.

Data Analytics Week is where quants and analytics-seeking business leaders come together to evolve their skillsets so they can better drive their business, brand and career.

The mission is simple: proficiently transform information into insights.

This forum is for the most passionate analytics seekers to exchange, discuss, collaborate and shape the future of data analytics. We confidently depart from using the term “big data” because regardless of the size of your data, there is powerful information to unlock. Only here will you realize the powerful ROI of business intelligence. Don’t miss out on this valuable and thought-provoking event.



“This was a really valuable opportunity to meet peers and suppliers, and to learn and grow”
Four Seasons Hotels and Resorts

“It was a really good conference! Thank you for the opportunity to present at it! I enjoyed it! I also enjoyed meeting the vendors. I’m moving ahead with 3 of them on opportunities that arose as a direct result from meeting them at the conference.”
Malt-O-Meal Inc.

“Well organized, informative session that covered the real issues and trends - not just those that are academic” – MGM Resorts“Chance to network with professionals.”
Suzanne Nimmo, Wells Fargo

“The opportunity to be in contact with Big Data experts with a business oriented perspective.”
Roberta Padorom, Atento Brasil

Advisory Board

  • Dana Zuber, VP, Head of Big Data Analytics Team, Wells Fargo
  • Jean-Paul Isson, Vp, Global Business Intelligence & Predictive Analytics, Monster Worldwide
  • Balaji Thiagarajan, VP, Cloud Platforms, Motorola Mobility Acquired by Google
  • Sushil Pramanick, President, The Big Data Institute
  • John Reynders, Chief Informtion Officer, Moderna Therapeutics, Inc
  • Natasha Balac, Director of Predictive Analytics, UC San Diego
  • Toa Charm, Chairperson, BI Special Interest Group, Hong Kong Computer Society
  • Satyam Priyadarshy, MBA, Ph.D, Chief Data Scientist, Halliburton – Landmark
  • Kathleen Hayes, Business Intelligence Analyst - Finance BI Team, Google

2014 Speakers Confirmed to Date

  • Jer Thorp, Co-Founder, Office for Creative Research, Fmr NYT Data Artist in Residence
  • David Saul, Senior Vice President and Chief Scientist, State Street
  • Shubham Agrwal, Sr. Group Manager, Product Management, The Home Depot
  • Shrikant Dash, Chief Credit Officer, Discover Financial Services
  • Dr. Satyam Priyadarshy, Chief Data Scientist, Halliburton - Landmark
  • Robert Thompson, Chief Marketing Officer, Old Florida National Bank
  • Min Shao, VP of Analytics, Yahoo
  • John Eisenhauer, Author, Heads Up! The Data Tsunami Survival Guide, (Chief of Data Governance, Humana)
  • Emad Georgy, Senior Vice President, Global Product Development, Cross Channel Marketing, Experian Marketing Services
  • Tianhui Michael Li, Data Scientist, Foursquare
  • Alfred Essa, Vice President, Analytics and R&D, McGraw-Hill Education
  • Sree Mouli Majji, Executive Director, BI, Data Architecture & Data warehouse, MGM Resorts International
  • Tong Sun, Director, Scalable Data Analytics Research Lab, Xerox
  • Robert Harles, Managing Director and Global Head of Social Media, Accenture
  • Priyo Chatterjee, Head of Consumer Card Portfolio Analytics, American Express
  • Deepa Swamy, Head of BI Architecture and Operations, Macys.com
  • JT Kostman, Senior Director: Data Science & Analytics, Samsung Telecommunications America
  • Krishnan Raman, Data Scientist, Twitter
  • Brad Ashby, Director, Business Analytics, Reckitt Benckiser Pharmaceuticals
  • Sofia Freyder, Director of Product Management/ Product Leader, Mastercard
  • Adam Singer, Analytics Advocate, Google
  • Randy Bartlett, Author, A Practitioner’s Guide To Business Analytics
  • Dr. Kirk Borne, Professor of Astrophysics and Computational Science, George Mason University
  • Joe Hollerstein, Chancellor's Professor, UC Berkeley
  • Marshall Van Alstyne, Associate Professor, Boston University
  • Larry Shiller, Data Management Consultant, Yale University
  • Mike Klaczynski, Product Marketing Specialist, Tableau Software
  • Dr. Milorad Krneta, Founder, CEO, Soft10 Inc.
  • Mahesh Kumar, Founder & CEO, Tiger Analytics
  • Eileen Boerger, CEO, Corsource
  • Manoj Chopra, VP Strategic Pricing & Promotions, Michaels Stores

Please fill in your name and email to receive the conference agenda of this event.


The agenda is available as PDF under downloads at the right side of the page.

Venue

The venue is not yet available for this event.
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Venue & Accommodations

MGM Grand Resort & Casino
3799 Las Vegas Blvd South
Las Vegas, Nevada
89109 , United States
Website:  http://www.mgmgrand.com
Phone: 800-646-9143

Accommodation
The room block will be open the week of July 21st.

With over 600,000 square feet of meeting space, 5,000 guest rooms and suites, world class entertainment, signature restaurants, and the hottest nightlife, MGM Grand is the Meeting Authority.

Group Rate: We’ve negotiated a deeply discounted hotel room rate of $95 per night (plus $25 resort fee 12% tax) specifically for the Data Analytics Week Attendees.

How to Book: To book your room, please identify you are part of the IQPC – Data Analytics Week group to ensure the special rate (based on availability). The group rate is available three days pre and post event based on group rate availability.

Please make your reservation before Friday, October 10, 2014 in order to ensure you are eligible for the group rate. After Friday, October 10, 2014, hotel rooms will be offered on a space-available basis at the prevailing rate.

Reservations Phone: 877-313-5757 or 702-891-7777
Event details
Organizer : IQUS
Event type : Conference
Reference : ASDE-3469