Challenge
A mid-sized municipal police department needed a way to better understand its operational performance and crime patterns. Leadership lacked a centralized analytics platform to measure dispatch response times, identify crime trends, and assess officer productivity using historical and current data.
Critical data was spread across multiple systems, including Computer Aided Dispatch (CAD) and Records Management Systems (RMS), making long-term analysis difficult and limiting the department’s ability to make informed, data-driven decisions.
Solution
SDI designed and implemented a centralized data lake to consolidate public safety data into a single analytical platform. The solution ingested five years of CAD data and twenty years of incident and crime report data from the RMS, creating a unified historical dataset with tens of thousands of records.
Using ETL processes, SDI structured the data into a reporting-ready data cube capable of supporting operational and trend-based analysis. Advanced analytics capabilities were later enabled to support predictive modeling, allowing the department to begin forecasting future patterns based on historical behavior.
Services Delivered
- Data lake architecture and implementation
- Integration of CAD and RMS data sources
- ETL development and data cube creation
- Historical and operational reporting design
- Predictive analytics enablement
- Dashboard development for real-time visibility
- Knowledge transfer and end-user training
- Ongoing system maintenance and support
Benefit
The department gained clear visibility into response times, crime trends, and operational performance through historical reports and real-time dashboards. Leaders could now evaluate patterns over time, identify emerging issues, and allocate resources more effectively.
The solution established a long-term analytics foundation that continues to support operational decision-making, while predictive capabilities positioned the department to move from reactive reporting to forward-looking analysis.
