Wednesday Mar. 19, 2014
Marcia Tal, Tal Solutions LLC
Why Analytical Modeling Will Never Be The Same
Marcia Tal will discuss findings from expert interviews around the globe on the topic of analytical modeling in our real-time, machine learning age. Machine learning's disruptive potential for consumer lending will be examined. Challenges around executing advanced analytic capabilities incorporating new and complex data sources will be identified and explored along with promising solutions. Topics include methodologies as diverse as identifying the objective function to optimizing outcomes through the integration of technology platforms into business development.
Next INFORMS NY Meeting
Wednesday Apr. 23, 2014 12:00 – 2:00 pm
Jerome Shimizu, InsightExpress
The Marketing Mix Crisis, Attribution Modeling and the Experimental Design Renaissance
Most companies are making major shifts in the allocation of marketing budgets, with a much greater proportion going to Online/Digital Channels. But the analytics of understanding and measuring the impact of that shift, both alone and in combination with investments in traditional media has not kept pace. Consequently, the science and art Marketing Attribution, whereby "credit" is assigned to the contribution that each channel has made to sales, has become a very hot topic. Simplistic "Last Click" analysis, where all the credit is given to the last point of customer contact, overestimates the contribution of online at the expense of investments in offline media. A number of analytic approaches have emerged to fill that void.
The Chief Research Officer of Insight Express, Jerome Shimizu, will describe these industry shifts, discuss the inherent difficulty of Attribution problem as an analytic exercise, and describe the solutions which have been devised to provide a more accurate picture of the influence that each type of online and offline media investment contributes to sales.
INFORMS NY is the New York City Chapter of the Institute for Operations Research and Management Science.
INFORMS NY Metro is actively seeking speakers & topics.
If you have a data analytic or business oriented topic please contact:
Jack Theurer firstname.lastname@example.org
or Leon Schwartz email@example.com.
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