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Episode 85:

You Can Stop Doing Data Fire Drills with Barr Moses of Monte Carlo

May 4, 2022

This week on The Data Stack Show, Eric and Kostas chat with Barr Moses, co-founder and CEO of Monte Carlo. During the episode, Barr discusses trust issues, defines terms like “detection” and “resolution,” sheds light on SLAs, and shares her experience with data teams.

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Notes:

Highlights from this week’s conversation include:

  • Barr’s background and career journey (2:12)
  • Trust: a technical or human problem? (9:47)
  • Behind the name “Monte Carlo” (15:41)
  • Defining data accuracy and reliability (17:36)
  • How much can be done with standardization (22:27)
  • How to avoid frustration when generating data about data (25:49)
  • Defining “resolution” (28:59)
  • Understanding the concept of SLAs (33:25)
  • Building a company for a category that doesn’t exist yet (37:40)
  • What it looks like to use Monte Carlo (44:07)
  • The best part about working with data teams (47:28)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

About the Podcast

Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

To keep up to date with our future episodes, subscribe to our podcast on Apple, Spotify, Google, or the player of your choice.

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