Case Study: Spacious achieves faster analytics and higher revenue with Panoply

Spacious Saved Time, Resources & Boosted Revenue with Panoply

Spacious, a New York City “future of work” company that operates a network of daytime workspaces, had customer and operational data scattered across Stripe, Intercom, Google Analytics, Facebook Ads and a MongoDB instance. That fragmentation left data in silos and forced teams into manual exports and spreadsheet analysis, making cross-dataset insights “incredibly frustrating” until they adopted Panoply’s cloud data warehouse.

Spacious’ CTO implemented Panoply to centralize ETL, storage and query performance, cohabitating all sources so analysts could run metrics like CAC vs LTV directly from one platform. With Panoply, revenue allocation and reporting that previously took hours or “sucked a week” and consumed about 25% of executives’ time can now be produced in minutes, eliminating manual processing and greatly accelerating decision-making.

Spacious

Justin Mulvaney

BI Manager