Barr Moses - Good data pipeline, bad data problem

Published: Aug. 5, 2021, 10:29 p.m.

Key takeaways:

\n
    \n
  • Good data pipeline, \u201cbad data\u201d problem
  • \n
  • Investing in data observability - it will cost you one way or the other
  • \n
  • Being proactive vs reactive
  • \n
  • Data engineering and data product manager would be best to own observability
  • \n
\n

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.

\n

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

\n

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

\n

https://twitter.com/BM_DataDowntime

\n

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.