SOURCE: Mu Sigma

Mu Sigma

October 14, 2014 09:00 ET

Mu Sigma Invited to Speak at Analytics 2014 Conference

Presentation Will Discuss How the Top Three Disciplines in a Decision Sciences Toolbox -- Statistics, Machine Learning, and Econometrics -- Can Work in Harmony

CHICAGO, IL--(Marketwired - Oct 14, 2014) - Mu Sigma (, the world's largest pure-play provider of decision sciences and analytics solutions, announced today that it will present at Analytics 2014 taking place October 19-21, 2014 in Las Vegas, NV. The Analytics 2014 Conference Series, presented by SAS, is an event where data analyst's network and learn about best practices and fresh ideas from industry innovators and their peers.

Zubin Dowlaty, Head of Innovation and Development at Mu Sigma, will discuss how the three disciplines of statistics, machine learning and econometrics can work in harmony to improve an organization's core analytical model. For example, OLS (ordinary least squares regression) is the default statistical method and, in many occurrences, the only method used by data scientists. Analysts spend a considerable amount time creating a model-ready data set, followed by running their respective advanced analytics techniques. However, Big Data is providing a scalable computation environment, enabling decision scientists to run dozens of methods rapidly, benefiting from the diversity of techniques. Ultimately, practitioners are seeking more robust and confident business analytics models, which an ensemble approach puts forth. For more insight on this topic and his upcoming presentation, read Zubin's blog on the SAS Training Post

Who: Zubin Dowlaty, Head of Innovation & Development, Mu Sigma

What: Featured Presentation: Analytics Ensemble Models: "Just Say NO to OLS"

Where: Grand Ballroom 1 at Bellagio Las Vegas

When: Tuesday, October 21 from 1:40 - 2:30 pm

How: For more information on the event or to register, visit

About Mu Sigma
Mu Sigma is a category-defining Decision Sciences and Big Data analytics company helping enterprises institutionalize data-driven decision-making. Mu Sigma's unique interdisciplinary approach and cross-industry learning drive innovation in solving high-impact business problems across marketing, risk and supply chain. With over 3500 decision scientists and experience across 10 industry verticals, Mu Sigma has been consistently validated as the preferred Decision Sciences and analytics partner. Mu Sigma provides an integrated decision support ecosystem of products, services and cross-industry best practice processes transforming the way decisions are enabled in enterprises for more than 140 Fortune 500 clients. Visit

Mu Sigma is a trademark of Mu Sigma, Inc. in the United States and other countries. All other trademarks contained herein are the property of their respective owners

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