Data Intelligence & Analytics

Data Science & Analytics

Matrix Solv provides information collection, analysis, integration, and reporting services to help government agencies, defense organizations, and commercial enterprises make data-driven decisions that sustain, optimize, and transform their IT environment.

Using proven systems engineering processes, Matrix Solv analyzes requirements and designs data solutions that enable organizations to rapidly gain insight from existing data and efficiently acquire new data as needed. Our approach leverages Agile and DevSecOps practices to enhance Business Intelligence (BI) and improve security and performance management — delivering better enterprise visibility and stronger decision support across mission-critical operations.


Matrix Solv’s Agile Data Delivery Framework

Matrix Solv’s data experts deliver end-to-end support for business and mission analysis. We begin by defining a data strategy aligned with your organizational objectives — identifying what data is critical, how it must be supplemented, and how it should be governed and secured.

We engage stakeholders on requirements and apply Human-Centered Design (HCD) to data architecture, ensuring every solution is built around user needs and operational priorities. Matrix Solv establishes robust data pipelines that collect and aggregate information from multiple sources, incorporating proper security protocols and automated processes to reduce risk and ensure data integrity across the enterprise.

With this foundation in place, Matrix Solv cleanses, analyzes, and transforms complex data into meaningful, actionable Business Intelligence. We process large datasets through a Data-Driven Decision Making (DDDM) framework — applying Artificial Intelligence and Machine Learning (AI/ML) algorithms that enable organizations to extract deeper insights and create reports, scorecards, and dashboards that enhance situational awareness and mission decision support.


Key Capabilities

  • Business intelligence and decision support
  • Data architecture, management, and governance
  • Data collection, analysis, and reporting
  • Data enrichment
  • Human-Centered Design (HCD)
  • Artificial Intelligence and Machine Learning (AI/ML)
  • Data intelligence products and discovery services