Molly Vorwerck is the Head of Content and Communications for Monte Carlo, a data observability company backed by Accel, GGV, Redpoint, Iconiq Growth, IVP, and other top Silicon Valley investors, and creator of the industry-leading Monte Carlo Data Observability Platform. Previously, she led the Tech Brand team at Uber, where she managed editorial strategy for the Uber Engineering Blog, the Uber Research Review Program, and Uber AI. Prior to that, she wrote for USA Today, covering U.S. history, politics, and culture. She graduated from Stanford University with a B.A. in American Studies and served as Managing Editor for The Stanford Daily. When she's not writing or thinking about data, she's probably watching The Great British Baking Show or reading a murder mystery.
3:00 PM - 3:20 PM
How Backcountry drives data observability at scale with Fivetran and Monte Carlo [Sponsored by Monte Carlo]
Backcountry, a leading outdoor apparel retailer, leverages data insights to inform its decision-making and improve the digital experience within its marketplace. To ensure the reliability of the data ingested and transformed through its BigQuery, Fivetran, and Looker data platform, Prasad Govekar, Director of Data Engineering, Data Science, and Analytics, implemented data observability. This enabled Prasad to monitor and detect data quality issues at scale and establish robust processes and workflows for root cause analysis and incident management. In this fireside chat, Prasad will explore Backcountry’s decision to invest in data observability, the impact it has had on reducing the time to detect and resolve critical incidents, and their plans for future data reliability strategies.