Overview Barr Moses, Co-Founder and CEO of Monte Carlo, joins on the podcast. Prior to founding Monte Carlo, Barr was the VP of customer success operations at Gainsight and holds a bachelors of science in mathematics and computer science from Stanford. In today’s episode Barr shares her inspiration for founding Monte Carlo, the cost and harms of poor quality data, the five principles of data observability, and her top predictions for data trends in 2023. About Barr Moses Barr Moses is CEO & Co-Founder of Monte Carlo, a data reliability company and creator of the data observability category, backed by Accel, GGV, Redpoint, ICONIQ Growth, Salesforce Ventures, IVP, and other top Silicon Valley investors. Previously, she was VP Customer Operations at customer success company Gainsight, where she helped scale the company 10x in revenue and, among other functions, built the data/analytics team. Prior to that, she was a management consultant at Bain & Company and a research assistant at the Statistics Department at Stanford University. She also 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. Social Handles LinkedIn Barr's Twitter Monte Carlo's Twitter Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support