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Governo

Modernization of the Public Safety Analytics Environment

How the client eliminated critical instabilities and prepared its data foundation for advanced analytics and AI.

Governo: How the client eliminated critical instabilities and prepared its data foundation for advanced analytics and AI.

01The Client

Agency responsible for managing and analyzing strategic public safety data at the state level.

02The Challenge

  • Analytics environment with serious performance issues
  • Frequent process cancellations and operational instability
  • High complexity in maintenance and evolution
  • Difficulty incorporating new data sources
  • Extended load windows impacting data availability
  • Structural limitation for evolution into advanced analytics and AI

03Implemented Solution

  • Deployment of Greenplum as the new analytical engine
  • Complete restructuring of data ingestion and integration architecture
  • Redesign of load and transformation processes
  • Simplification of new data source onboarding
  • Performance optimization and reduction of processing windows
  • Foundation preparation for Advanced Analytics and Artificial Intelligence

04Strategic Differentials

  • Modernization without critical operational disruption
  • Scalable architecture built for large data volumes
  • Significant reduction in technical complexity
  • Simplified model for expanding new integrations
  • Structured foundation for future AI projects applied to public safety

05Results Achieved

  • Greater agility in incorporating new data sources
  • Elimination of recurring process cancellations
  • Significant reduction in load windows
  • Stable, high-performance environment
  • Solid foundation for advanced analytics and predictive models
  • Improved strategic analytical capacity of the agency

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