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DataBackend
Analytics Dashboard Platform
Eliminated 60% of ad-hoc data requests by giving stakeholders self-service access to live interactive dashboards.
DjangoPlotly DashPythonREST APIsPostgreSQL
The Problem
Business stakeholders submitted 50+ ad-hoc data requests per week to the engineering team, creating a bottleneck that delayed decisions by 3–5 days.
The Solution
Built a full-stack analytics platform embedding Plotly Dash dashboards directly into a Django application (no iframes). Implemented real-time data fetching, interactive bar/pie/radar/scatter charts, role-based access, and a self-service filter interface.
The Impact
Reduced ad-hoc reporting requests by 60%. Stakeholders access live dashboards independently. Decision latency dropped from days to minutes.
Tech Details
- Plotly Dash embedded natively inside Django using django-plotly-dash (no iframes)
- Real-time data fetching via Django REST API endpoints consumed by Dash callbacks
- Interactive chart types: bar, pie, radar, scatter — all with cross-filter support
- Role-based access control: admin, analyst, viewer tiers with Django permissions
- Self-service filter interface: date range, publisher, metric type selectors
- PostgreSQL backend with optimized indexes for sub-second dashboard load times
- Scheduled data refresh jobs ensuring dashboards reflect data within 15 minutes