In this week’s a.university session, Piotr Urbanski, Ph.D., Ayzenberg associate director of marketing science, explains how to scan your data for false conclusions produced by a phenomenon called the Simpson’s Paradox—where trends reverse when a dataset is separated into groups. Urbanski shares how to think more critically about data analysis to analysts elevate their causal inference and help leadership better understand the performance of marketing campaigns.
Recommended For You
Square: New Black And Latino Retail Startups Face Unique Challenges And Opportunities
According to Square’s CMO, Lauren Weinberg, the company wants to help level the playing field for…
Earned Media Value 101: Revisiting A Powerful Consumer Engagement Tool
Advertising is evolving as consumers change the way they interact with content. Today, influencers and user-generated…
New Report: Most CMOs See Value, But Not A Game Plan For AI
A recent report by Sprout Social and The Harris Poll reveals that most marketers are ready…
