Penguin Random House, the world’s largest trade book publisher, relies on data to power every part of its global business, from supply chain operations to editorial workflows and royalty reconciliation. As the complexity of PRH’s dbt pipelines grew, manual checks and brittle tests could no longer keep pace. The Data Governance team knew they needed a smarter, scalable approach to ensure trusted data.

In this session, Kerry Philips, Head of Data Governance at Penguin Random House, will reveal how the team transformed data quality using Sifflet’s observability platform. Learn how PRH integrated column-level lineage, business-rule-aware logic, and real-time alerts into a single workspace, turning fragmented testing into a cohesive strategy for trust, transparency, and agility.

Attendees will gain actionable insights on:

- Rapidly deploying observability without disrupting existing dbt workflows

- Encoding business logic into automated data tests

- Reducing incident resolution times and freeing engineers to innovate

- Empowering analysts to act on data with confidence

If you’ve ever wondered how a company managing millions of ISBNs ensures every dashboard tells the truth, this session offers a behind-the-scenes look at how data observability became PRH’s newest bestseller.