Case Study: Saucey achieves rapid, engineering-free self-service analytics with Panoply

Saucey - Customer Case Study

Saucey, a Los Angeles–based on-demand alcohol delivery service, faced a complex data challenge: tracking distinct KPIs across customer apps, retail partners and logistics while pulling data from disparate sources (MongoDB, Stripe, Twilio, Typeform, Google Sheets). They needed a cost-effective, managed, plug-and-play cloud data warehouse and self-service reporting so non‑engineering teams could get fast, reliable insights — a need they addressed by evaluating solutions like Panoply.

Saucey implemented Panoply as the foundation of their data stack, using its automated ETL, storage management and query performance features to ingest and transform data from MongoDB and other sources, and to power Looker dashboards. With Panoply, reports are delivered automatically, query speeds and Looker visualizations improved drastically, teams can self-serve analysis without engineering, and ongoing maintenance is minimal — delivering measurable efficiency gains across the organization.

Saucey

Daniel Leeb

Co-founder & Chief Product Officer