Name: But I can't measure that! How to Data Science without a (precise) value proposition
Start: 2025-05-16T04:00:01-0500
End: 2025-05-16T04:00:01-0500

Friday May 16, 2025 TBA

Scientist and Analyst pain caused by lack of measurement can sound like: We'd like you to make money via an algorithm, but we don't have the metadata set up to allow for attribution. Or perhaps: Can you please improve the daily customer experience? However, our primary metric is only published by the vendor quarterly...

There are many great reasons to tackle problems that can't be clearly measured. When can we accept improvement in proxy variables as progress? When do we need to demand rigor in our financial attribution and valuations? I will discuss a few technical examples from retail supply chain and marketing to highlight a few of the examples where we can make scientific progress without key results and at what point we should demand more rigor.

Speakers

Samantha Schumacher, PhD, MS

Sr. Director of Data Sciences, Target

I specialize in bridging advanced mathematics to complex systems. I love leading diverse, interdisciplinary teams of scientists and artists. I have 10+ years at Target solving supply chain and inventory and marketing problems with data science.

Friday May 16, 2025 TBA

4 - Mostly Technical

Data Tech 2025

Samantha Schumacher, PhD, MS

Log in to save this to your schedule, view media, leave feedback and see who's attending!