Case Study: Pared fills restaurant staffing gaps and accelerates analytics with Sisense for Cloud Data Teams

Pared Uses BI to Help Restaurants Solve Their Staffing Gaps

Pared is a San Francisco–based marketplace app that connects restaurants with vetted kitchen staff on demand to cover sudden staffing gaps. Rapid growth and expansion into New York produced large, disparate data streams and created a need for a consolidated BI platform to deliver accurate, real-time insights for operations, sales and leadership.

Pared adopted Sisense for Cloud Data Teams (with AWS and R integration) to create a single source of truth, build interactive dashboards, run predictive models, and perform deeper analyses without switching tools. The platform sped up insights across departments, cut BI development effort (roughly 30% time savings), enabled more advanced analytics, and helped the company scale and respond faster to operational questions.

Pared

AJ Francia

Data Scientist