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Data Science In Action

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Dear TDWI St Louis BI/DW and Analytics Professionals,
We cordially invite you to attend our upcoming TDWI St Louis Chapter meeting on December 2, 2016.  Come meet other local professionals, swap business cards, share ideas, and exchange career advice while listening to quality presentations in a vendor-neutral setting, which is the hallmark of TDWI education. Our speakers will be DW/BI end-users reporting on their success and lessons learned implementing various BI tools or projects. Please see our detailed meeting agenda below.

Download these presentations from the meeting: Gaurav Rao TDWI St Louis Data Science Dec 2 2016 Final.pdf

Download these presentations from the meeting: Couponing Seetharaman presentation.pdf


December 2, 2016 at 8:00- 12:00



The BJC Learnings Center
8300 Eager Road
Brentwood, MO  63144


Data Science In Action  

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8:00 – 8:20

Networking and Registration

8:20 – 8:35

Introductions and Chapter Business


Break and Networking


Presentation: Winning the Hearts & Minds of the Data Scientist in the Cognitive Era 
Gaurav Rao
Director of Offering Management, Revenue and P&L for IBM’s Advanced Analytics business


Gaurav Rao will discuss the vital role of the data scientist in the growing digital economy and how they are discovering hidden insights from massive amounts of structured and unstructured data, using methods such as statistics, machine learning, data mining, and predictive analytics.
This multi-disciplinary area is changing the way organizations solve problems and gain a competitive advantage in their industries. Businesses that can capture higher value from new data sources and use it to differentiate themselves will define what it means to be a cognitive business.
This session will focus on transformation in the digital world and the role of data science, the evolving definition of a data scientist, the types of business challenges data scientists are trying to solving, as well as the capabilities that are enabling them to generate insight in their industries and professions.


Presentation: Measuring the Effects of Different Types of Retailer Targeted Coupons on Retailer Profits
Seethu Seetharaman
W. Patrick McGinnis Professor of Marketing
Olin Business School, Washington University in St. Louis


Basket level market analysis can provide insight to retailers about the value of investing in more personalized promotional efforts.  In this presentation, we’ll describe such an analysis, showing a detailed cross-category glimpse of where such value is gained.
We empirically estimated the expected basket-level demand effects and, therefore, the expected store profit effects, of three different types of retailer targeted coupon campaigns used by a national supermarket retail chain. The three types of promotional campaigns differed in terms of household-level personalization.
To accomplish this, we built and estimated an econometric model of a household’s contemporaneous purchase incidence outcomes in 28 product categories, together with a household-level store choice model.  We’ll describe the findings of this analysis and what lead to the highest expected profit.


Q&A, Raffles, and Wrap-up

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Space is limited so sign up early!

For more information about TDWI Membership, contact [email protected].
To contact a Chapter officer, click on name of the officer located on the top right hand column of this page.

Bio of Presenter

Gaurav Rao
Gaurav Rao is the Director of Offering Management, revenue and P&L for IBM’s Advanced Analytics business, bringing data driven insights to structured and unstructured information at enterprise scale. The Advanced Analytics portfolio includes IBM’s leading Data Science, Machine Learning, Predictive [SPSS Business], and Prescriptive [CPLEX Business] technologies. Gaurav was part of the information management CTO's team responsible for interpreting market trends and developing IBM's largely open-source big data & analytics reference architecture.
Seethu Seetharaman
Seethu Seetharaman is W. Patrick McGinnis Professor of Marketing, Director of the Center for Customer Analytics and Big Data (CCABD), as well as the Academic Director of the Master of Science in Customer Analytics (MSCA) program, at the Olin Business School, Washington University in St. Louis. His research primarily deals with applied statistical and/or econometric models of consumer and firm behavior that inform pricing and advertising decisions, as well as promotional strategies of firms.

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