Data Analytics Stack
Complete analytics stack — from data collection to visualization. SQL queries, dashboards, and automated reports.
Get this bundle
Who This Bundle Is For
Analysts, product managers, and business owners who want to make data-driven decisions.
What's Included
MCP Servers
PostgreSQL — primary data storage. Transactional database for product metrics.
ClickHouse — columnar database for analytics. Fast aggregations on large datasets.
Grafana — visualization and monitoring. Real-time dashboards, alerts, reports.
SQLite — local analytics. Quick experiments, prototypes, ad-hoc queries.
Skills
Marketing Analytics — marketing campaign analysis. ROI, conversion rates, channel attribution.
Python Developer — ETL scripts, data processing with pandas, API integration.
Agents
Research Agent — deep data analysis. Insight discovery, anomaly detection, report preparation.
How to Use
- Connect your databases via MCP
- Describe your business question — Claude will write the SQL
- Create visualizations in Grafana
- Set up automated reports
Example Prompt
Analyze user retention over the last 3 months:
- Cohort analysis by registration week
- Breakdown by traffic source
- Comparison of paid vs. free users
- Visualization as a heatmap
Analysis Pipeline
Raw data → ETL → Storage → Analysis → Visualization → Insights
↓ ↓ ↓ ↓ ↓ ↓
API logs Python ClickHouse SQL Grafana Research
Events pandas PostgreSQL Claude Dashboards Agent
Results
- Automated data collection and processing
- Interactive dashboards for your team
- SQL queries for any ad-hoc questions
- Regular reports with insights