New data tools drop daily, but are they worth the hype? Some launch with overinflated expectations, while others solve a problem that doesn’t really exist. On the flip side, there are tools that transform the enterprise and have the potential to change the way we do data forever. The question is, how can you tell the difference?

Special guest Erik Bernhardsson, formerly with Better.com and Spotify, joins Tim and Juan for a conversation on data tools; the good, bad and the ugly.

This episode will feature:
An overview of data tool types and who they serve
How to define “good, bad and ugly”
What’s your favorite spaghetti western movie?

New data tools drop daily, but are they worth the hype? Some launch with overinflated expectations, while others solve a problem that doesn’t really exist. On the flip side, there are tools that transform the enterprise and have the potential to change the way we do data forever. The question is, how can you tell the difference?
Special guest <a href='https://www.linkedin.com/in/erikbern/'>Erik Bernhardsson</a>, formerly with Better.com and Spotify, joins Tim and Juan for a conversation on data tools; the good, bad and the ugly.
This episode will feature:
<ul><li>An overview of data tool types and who they serve</li>
 <li>How to define “good, bad and ugly”</li>
 <li>What’s your favorite spaghetti western movie?</li>
</ul>

Catalog and Cocktails is the honest, No-BS, non-sales-y podcast about data and analytics. This is your unfiltered chat about everything interesting in data and analytics. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from thought leaders, practitioners and executives across the data and analytics space.

Catalog and Cocktails is the honest, No-BS, non-sales-y podcast about data and analytics. This is your unfiltered chat about everything interesting in data and analytics. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from thought leaders, practitioners and executives across the data and analytics space.

Catalog & Cocktails: The Honest, No-BS Data Podcast

Data tools: the good, the bad, and the ugly w/ Erik Bernhardsson

Can't believe it's already been 6 years. Thank you to our amazing guests and specially our listeners. In this season finale episode, Juan and Tim rant about the honest no-bs discussions they've had in 2026 and what are the topics they are looking forward to cover in the next season. 

Can't believe it's already been 6 years. Thank you to our amazing guests and specially our listeners. In this season finale episode, Juan and Tim rant about the honest no-bs discussions they've had in 2026 and what are the topics they are looking forward to cover in the next season.&nbsp;

6th YEAR SEASON FINALE: Juan and Tim Rant

Jason Doerr has spent years watching governance programs undermine themselves by cataloging everything without a use case, naming data stewards who have nothing to actually do, and building central teams that become blockers instead of enablers. In this episode, he walks through what pragmatic governance actually looks like: start with use cases, give stewards real work to action on, and let the central team set principles rather than police behavior. He also digs into PADU (Preferred, Acceptable, Discouraged, Unacceptable) as a practical roadmap framework, how LLMs can accelerate semantic layer creation without generating vanity metrics, and why the governance operating model is shifting toward agentic management ... whether the governance community is ready for it or not.

Jason Doerr has spent years watching governance programs undermine themselves by cataloging everything without a use case, naming data stewards who have nothing to actually do, and building central teams that become blockers instead of enablers. In this episode, he walks through what pragmatic governance actually looks like: start with use cases, give stewards real work to action on, and let the central team set principles rather than police behavior. He also digs into PADU (Preferred, Acceptable, Discouraged, Unacceptable) as a practical roadmap framework, how LLMs can accelerate semantic layer creation without generating vanity metrics, and why the governance operating model is shifting toward agentic management ... whether the governance community is ready for it or not.

Pragmatic Use-Case-Driven Data Governance with Jason Doerr

This is the takeaway episode with Jason Doerr who has spent years watching governance programs undermine themselves. He walks through what pragmatic governance actually looks like and digs into PADU (Preferred, Acceptable, Discouraged, Unacceptable) as a practical roadmap framework. 

This is the takeaway episode with Jason Doerr who has spent years watching governance programs undermine themselves. He walks through what pragmatic governance actually looks like and digs into PADU (Preferred, Acceptable, Discouraged, Unacceptable) as a practical roadmap framework.&nbsp;

Data tools: the good, the bad, and the ugly w/ Erik Bernhardsson

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Catalog & Cocktails: The Honest, No-BS Data Podcast

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