Security operations generate vast incident data but lack centralized visibility. This project delivers an automated dashboard transforming raw data into actionable intelligence.
Business Value: Enable data-driven decisions, reduce reporting time by 95%, quantify security program effectiveness.
- Security incidents tracked manually in spreadsheets
- No real-time visibility into trends
- Unable to quantify cost impact
- Leadership lacks data for resource decisions
- Compliance reporting takes 40+ hours per quarter
Automated data pipeline that:
- Extracts incident data (Python)
- Stores in queryable database (SQLite)
- Generates interactive visualizations (Plotly)
- Delivers executive dashboard (HTML)
Quantitative:
- Reduce reporting time from 40 hours to 2 hours quarterly (95% reduction)
- Identify high-cost patterns within 24 hours vs 30 days
- Track 100+ incidents automatically
Qualitative:
- Data-driven resource allocation
- Improved stakeholder communication
- Foundation for predictive analytics
- Investment: 80 hours @ $75/hr = $6,000
- Annual Savings: 152 hours saved @ $75/hr = $11,400
- ROI: 90% in year 1
- Payback Period: 6.3 months
In Scope:
- Data extraction from security feeds
- ETL pipeline (Python, pandas)
- SQLite database
- Interactive dashboard with 6+ visualizations
- Documentation
Out of Scope:
- Real-time streaming (future)
- Machine learning models (future)
- Production SIEM integration (future)
- User authentication (not needed for POC)
✅ Pipeline processes 100+ incidents without errors ✅ Dashboard loads in <3 seconds ✅ Interactive visualizations work across browsers ✅ Code documented with comments ✅ PM artifacts demonstrate methodology
- Python programming
- SQL database design
- ETL pipeline development
- Data visualization
- Project planning
- Risk management
- Stakeholder communication
- Agile methodology
- Planning: 1 day
- Development: 1 week
- Testing: 2 days
- Documentation: 1 day
- Total: ~2 weeks (in reality: built in 1 evening!)
- Security Operations Manager: Primary user
- CISO: Executive sponsor
- Security Analysts: Daily users
- Compliance Team: Audit requirements
This project demonstrates how PM thinking elevates technical work from "code that runs" to "solutions that deliver value."