NEW Tool:

Use generative AI to learn more about data.world

Product Launch:

data.world has officially leveled up its integration with Snowflake’s new data quality capabilities

PRODUCT LAUNCH:

data.world enables trusted conversations with your company’s data and knowledge with the AI Context Engine™

PRODUCT LAUNCH:

Accelerate adoption of AI with the AI Context Engine™️, now generally available

Upcoming Digital Event

Are you ready to revolutionize your data strategy and unlock the full potential of AI in your organization?

View all webinars

What good is a Metrics Layer w/ Benn Stancil

Clock Icon 60 minutes
Sparkle

About this episode

We all like to measure things: height, weight, company revenue, active users on our SaaS platform. Measurement, and a common understanding of that measure is critical whether you’re a doctor, an athlete, or a business decision maker. Self-service analytics is much easier today, but without shared definitions for the metrics we’re reporting on, trust in analytics is still relatively low. Is it time for a Metrics Layer? 

Join Tim, Juan and special guest Benn Stancil, chief analytics officer and founder of Mode to discuss all things Metrics Layer including what it is and why we should care.

This episode features
  • Where does a metrics layer fit within the modern data stack

  • What tools and skills are needed to make this a reliable part of your data strategy

  • In honor of the Friday Fight post, what is the most controversial post/blog you’ve ever written, and what kind of feedback did you receive?

Key takeaways

  • Metrics layer should be a thing.

  • Governance: want to make sure that the definition of WHAT it is matches

  • Businesses use metrics in many places. Historically, it has been in BI tool. Ship it to executives.

Special guests

Avatar of Benn Stancil
Benn Stancil Mode
chat with archie icon