Data Analytics Week

November 10 - 13, 2014

MGM Grand Resort & Casino, Las Vegas, Nevada



Meet the Intelligence Demand & Accelerate the Discovery of Actionable Insights

Welcome to Data Analytics Week!

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.

3 Ways to Get Involved!

  • Speak - If you have a case study or would like to share your expertise, contact
  • Sponsor - Data Analytics Week provides a perfect venue to meet those who are actively seeking new ideas and solutions to tap into big data. There are only a limited number of opportunities. For more information on sponsorship and exhibiting opportunities, contact
  • Attend - If one of your goals is to learn and develop your skills on this subject matter, then this is the perfect event for you. To find out about how to register, contact

Keynote Interview: Jer Thorp on the Science, Art & Design of Data

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Speaker Highlights

 Dana Zuber
Dana Zuber
VP, Head of Big Data Analytics Team
Wells Fargo
 Priyo Chatterjee
Priyo Chatterjee
Head of Consumer Card Portfolio Analytics
American Express
 Shrikant Dash
Shrikant Dash
Chief Credit Officer
Discover Financial Services
 Alfred Essa
Alfred Essa
Vice President, Analytics and R&D
McGraw-Hill Education
 Sree Mouli Majji
Sree Mouli Majji
Executive Director, BI, Data Architecture & Data warehouse
MGM Resorts International
 Dr. Satyam Priyadarshy
Dr. Satyam Priyadarshy
Chief Data Scientist
Halliburton - Landmark
 David Saul
David Saul
Senior Vice President and Chief Scientist
State Street
 Robert Thompson
Robert Thompson
Chief Marketing Officer
Old Florida National Bank

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Resource center

  • Keynote Interview: Jer Thorp on the Science, Art & Design of DataKeynote Interview: Jer Thorp on the Science, Art & Design of Data
    Science, art and design: these are the three elements that are the foundation to exciting data visualization. Design isn’t just about making data look good. Look no further than Apple, Inc., to understand how foundational design can be in an organization. On the other hand, data scientists must also align analysis with art. Artists ask the important questions business executives may not have considered. Plus, data artists excel at breaking down boundaries in creativity.

    No one understands this better than Jer Thorp, Co-Founder of the Office of Creative Research and Former Data Artist in Residence at The New York Times. Jer is the keynote speaker at the upcoming Data Analytics Week.
  • The Evolution of Data Analytics WeekThe Evolution of Data Analytics Week
    Two years ago, we modeled our event on cross-industry conversations that were centered on the overhyped and often confusing vernacular of “big data.” Today, most major businesses have mastered data capture. So in 2014, we have aligned The Data Analytics Week to deal with the real bottleneck; the human-centered capability to analyze rich data and most importantly extract actionable insights for real-time, forward-thinking business decisions. Take a look at how we’ve matured since 2012.
  • Harnessing the Power of Big Data to Compete in the 21st CenturyHarnessing the Power of Big Data to Compete in the 21st Century

    Aneesh Chopra, the first U.S. Chief Technology Officer, claims that the lionshare of Big Data insight lies in its ability to empower business units with the information they need to make better decisions and achieve the best outcomes.

    In this exclusive interview, Aneesh outlines how the use of Big Data can lead to more strategic business operations in both the public and private sectors, the importance of data governance and the key deciding factors that should be considered when determining where to place Big Data technology investments. 

  • Big Data: Things to Consider Before You StartBig Data: Things to Consider Before You Start
    The analysts at Gap, Inc. were solving for "X," with "X" being their customer's site, mobile and game usage; outside economic patterns, sentiment analysis, buying behaviors and recommendations, and fraud and virus detection. Find out the answer to the equation in this past presentation by Reto F. Matter, the Director Enterprise Data Architect at Gap, Inc.
  • Harnessing the Power of Big Data and Analytics to Compete in the 21st CenturyHarnessing the Power of Big Data and Analytics to Compete in the 21st Century

    As the nation’s first-ever Chief Technology Officer appointed by President Barack Obama in 2009, Aneesh Chopra was at the helm of the technology innovations that led to a more efficient and lean federal government.

    Aneesh’s Big Data insights don’t end with the public sector, however.  He was recently appointed to Apigee’s advisory board to provide insight and counsel as the company takes its technology platform for apps, data and API’s into new growth markets.

    In this interview, he discusses the need for Big Data and analytics for driving business forward, the importance of data governance, tips on how to create an effective analytics team and more.

  • Context Relevant: The Automated Machine Learning System for HadoopContext Relevant: The Automated Machine Learning System for Hadoop
    Predictive analytics should be easy. Hadoop is free and commodity clusters are nexpensive, yet our customers come to us with their hands up, months or years into ineffective Hadoop projects. At the Big Data Business Forum, Context Relevant will demonstrate a new way to use machine learning to automate predictive analytics to get more accurate predictions, faster than before.