2M+ daily eventsData Science
Revenue Analytics Dashboard
Real-time revenue intelligence with predictive forecasting, cohort analysis, and anomaly detection for 200+ users.
2M+
Daily Events
< 500ms
Refresh
94%
Forecast Accuracy
200+
Active Users
The Challenge
2M+ daily events with sub-second refresh and complex multi-touch attribution models.
The Solution
1
Kafka streaming into PostgreSQL materialized views
2
Redis-cached rollups — 90% dashboard loads hit cache
3
Multi-touch attribution as nightly batch with daily increments
4
Prophet forecasting with confidence intervals
// Tech Stack
Built With
Python
D3.js
PostgreSQL
Redis
Kafka
Airflow
Prophet
Docker
// Results
Impact
Sub-500ms refresh at peak. 94% forecast accuracy at 30 days. Used daily by 200+ team members.
// More