Press: Expands Snowflake Collaboration with New Exclusive Offering to Accelerate Data Trust

NEW Tool:

Use generative AI to learn more about

November 30th:

AI-Ready Data: Building the Foundation for Trusted Generative AI Applications

New Benchmark:

Read the first-of-its-kind benchmark on the accuracy of LLMs in the enterprise

Upcoming Digital Event

Hear from Power Digital’s Chief Product Officer, Michael Murray, on how he and his team are leveraging the Snowflake Data Cloud and Data Catalog Platform to build the data foundation needed for generative AI for the advertising and performance marketing industry – and delivering a fluid data experience to their customers. 

View all webinars

The easiest data is always the hardest to model w/ Karen Lopez


About this episode

Have you ever had a tax form sent to the wrong address, a credit card with no suspicious activity get deactivated, or been billed for a service you’ve never used? If so, you may be the victim of poor data modeling.

Join Tim, Juan and Karen Lopez, aka @datachick from InfoAdvisors, to discuss what assumptions people and applications make about the simplest data. We’ll also try and answer the question, “why are phone numbers, and addresses so damn hard to model?!?”

This episode features
  • Why modeling simple things is harder than it seems, and what we can do about it

  • The best and worst data modeling fails

  • If Sports Illustrated had an issue dedicated to data models, what would be on the cover?

Key takeaways

  • “One man’s lookup table is another man’s universe”

  • Generalized modeling (vs specific modeling)

  • Don’t forget the cost of needing to document and maintain kinds of institutional knowledge

Special guests

Avatar of Karen Lopez
Karen Lopez InfoAdvisors