Context
The challenge
A growing SaaS company needed unified product analytics across multiple data sources with self-service reporting for operations teams.
Use case
Built a warehouse-to-dashboard pipeline so product, ops, and leadership teams could track KPIs from one source of truth.
~60%
Reporting time saved
Illustrative visualization
5+
Data sources unified
Illustrative visualization
Context
A growing SaaS company needed unified product analytics across multiple data sources with self-service reporting for operations teams.
Approach
We engineered a data pipeline from application events to a warehouse, built semantic models, and delivered a custom analytics portal with role-based dashboards.
Results
What changed for the business after delivery.
Use Cases
Other representative engagements across analytics, AI, commerce, and integration.