Show Notes* (2:23) Barr discussed growing up in Israel and serving as a commander of the Data Analytics unit at the Israeli Air Force. * (4:10) Barr reflected on her college experience at Stanford studying Math and Computational Science. * (7:24) Barr walked over the two career lessons learned from being a Management Consultant at Bain and Company. * (9:51) Barr reflected on her time as VP of Customer Operations at Gainsight, which offers enterprise solutions for Customer Success and Product teams. She helped build and scale a global team covering various functions such as business operations, customer success, professional services. * (12:32) Barr unpacked the notion of data downtime, introduced in her blog post “The Rise of Data Downtime.” * (17:25) Barr unveiled the four main steps in the data reliability maturity curve: reactive, proactive, automated, and scalable - as indicated in “Closing The Data Downtime Gap." * (21:09) Barr shared the founding story behind Monte Carlo, whose mission is to accelerate the world’s adoption of data by reducing data downtime. * (24:29) Barr explained the five pillars of data observability. * (27:45) Barr unpacked the rise of data catalogs as a powerful tool for data governance, along with the three categories of data catalog solutions that data teams are adopting - as presented in “What We Got Wrong About Data Governance.” * (31:32) Barr discussed the benefits of using Data Mesh - a type of data platform architecture that embraces data ubiquity in the enterprise by leveraging a domain-oriented, self-serve design. * (37:28) Barr went over a framework that looks at the business functions and the nature of the work to score the impact and allocate the ROI of the data team - as proposed in "Measuring the ROI of Your Data Organization." * (40:39) Barr shared five practices for designing a platform that maximizes data's value and impact inside an organization. * (43:27) Barr reflected on the key decisions to get the first cohort of customers for Monte Carlo. * (46:31) Barr shared valuable hiring lessons. * (48:48) Barr went over helpful resources throughout her journey as a founder. * (50:13) Barr dropped the final advice for founders on seeking the right investors. * (51:18) Closing segment.

Her Contact Info* Twitter * LinkedIn * Medium * Monte Carlo

Her Recommended Resources* Stanford's "Mathematics and Magic Tricks" course (taught by Persi Diaconis) * "The Biggest Bluff" by Maria Konnikova * Snowflake * DJ Patil (Former U.S. Chief Data Scientist) * Monte Carlo's Customers