How to Activate Data Reliability to Drive Data Intelligence Adoption
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Strategy and Lakehouse Implementation |
INDUSTRY | Media and Entertainment |
TECHNOLOGIES | Data Sharing, Governance, SQL Analytics / BI / Visualizations |
SKILL LEVEL | Intermediate |
DURATION | 40 |
In the dynamic world of mass media, Conde Nast stands as a global titan, wielding a portfolio of iconic brands, including VOGUE, Vanity Fair, GLAMOUR, GQ, The New Yorker, and WIRED. The mission of the Conde Nast data team was simple—deliver precise and actionable insights to each stakeholder within the Conde Nast family. But when you're a single data team building a modern data and AI stack for multiple elite brands—each with its own use cases and stakeholders—winning trust and adoption for your intelligence platform is no mere vanity project. And data reliability is at the center of it all. In this session, we will lay out how the Conde Nast data team established best practices for data quality to build trust across the global organization and share four specific quality tooling and organizational changes Conde Nast implemented to take its lakehouse adoption to the next level.
SESSION SPEAKERS
IMAGE COMING SOON
Nana Essuman
/Vice President, Data Solutions Engineering
Conde Nast