# Analytics Platform Boilerplate

## Overview
Data analytics, user behavior tracking, business intelligence, real-time metrics, reporting dashboards

## Tech Stack
- **Backend**: Python, Node.js, Scala
- **Frontend**: React, TypeScript, D3.js
- **Database**: ClickHouse, PostgreSQL, BigQuery
- **Analytics**: Apache Spark, Pandas, NumPy
- **Visualization**: Chart.js, Plotly, Grafana
- **Streaming**: Apache Kafka, Apache Flink

## Specialized Agents
- `analytics-data-engineer` - Data pipeline and ETL development
- `metrics-visualization-designer` - Dashboard and chart creation
- `behavioral-analytics-specialist` - User journey and funnel analysis
- `real-time-analytics-architect` - Streaming analytics infrastructure

## Key Features
- Real-time event tracking
- User behavior analytics
- Business intelligence dashboards
- Custom metrics and KPIs
- A/B testing and experimentation
- Predictive analytics and forecasting

## Analytics Capabilities
- Web and mobile app analytics
- Customer journey mapping
- Conversion funnel analysis
- Cohort and retention analysis
- Attribution modeling
- Performance monitoring

## Architecture Patterns
- Event-driven data collection
- Lambda architecture (batch + streaming)
- Data lake and data warehouse
- Real-time dashboard updates

## Implementation Requirements
- High-volume event ingestion
- Real-time data processing
- Scalable data storage
- Interactive visualization tools
- Privacy-compliant data handling
- Advanced statistical analysis