Scaling embedded analytics: Deliver reliable data with the dbt Semantic Layer
Watch on-demand as our Product Manager, Jordan Stein, alongside Brightside Health’s Chief Data Officer, Hans Nelsen, and Data Engineer, Fidel Ilustre, share how Brightside Health transformed its data strategy using the dbt Semantic Layer.
Key takeaways include:
- Centralize data to improve decision-making with crawlable metrics.
- Embed analytics to streamline workflows and reduce manual tasks.
- Best practices for leveraging the dbt Semantic Layer to create scalable, real-time insights for anyone.
Faced with fragmented metrics, inconsistent data quality, and manual processes, Brightside centralized its metric logic and scaled embedded analytics to support clinical operations and business growth—all while enhancing data governance.
In this session, we’ll walk through how Brightside improved operational efficiency, minimized context switching, and scaled analytics for every data consumer, from providers to business users.
Learn how a unified data strategy can elevate your embedded analytics and provide trusted insights to every stakeholder.
Meet our speakers:
Hans Nelsen
CDO
Brightside Health
Jordan Stein
Product Manager
dbt Labs