Case Study: Paddle achieves real-time, transparent reporting and actionable SaaS analytics with Sisense

How Paddle Makes Sense of Its Data Landscape

Paddle is a SaaS payments platform that processes transactions for hundreds of software vendors and generates large volumes of transactional and third‑party data. The company needed to turn that raw data into accessible, actionable metrics across teams while keeping reporting transparent, scalable, and proportional to business needs—avoiding data collection for its own sake.

Paddle centralized its data, adopted Sisense for Cloud Data Teams for cross‑database querying and visualization, and built role‑specific dashboards (Customer Success, Product, Risk) plus a Global View for execs and the board. The result: automated, near‑real‑time reporting, faster analysis instead of manual reporting, targeted subscription analytics for vendors, better risk monitoring, and a foundation for more predictive, outcome‑driven use of data.

Paddle

Gerry McHugh

Operations Manager