Description

Key takeaways:

• Good data pipeline, “bad data” problem
• Investing in data observability - it will cost you one way or the other
• Being proactive vs reactive
• Data engineering and data product manager would be best to own observability

Meet:  Barr Moses is CEO & Co-Founder of Monte Carlo, a data reliability company backed by Accel, GGV, Redpoint, and other top Silicon Valley investors. Previously, she was VP Customer Operations at Gainsight, a management consultant at Bain & Company, and served in the Israeli Air Force as a commander of an intelligence data analyst unit. Barr graduated from Stanford with a B.Sc. in Mathematical and Computational Science.

If you have any questions for Barr, please feel free to reach out via:

https://www.linkedin.com/in/barrmoses/

https://twitter.com/BM_DataDowntime

I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.