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data managementParagon's skilled data scientists and mission experts solve today's big data challenges.

Data growth continues to outpace human capacity to monitor and understand its meaning and relevance. In 2009, the US Government produced more than 840 petabytes of data and the US healthcare data alone reached 150 exabytes. Further complicating the challenge for government agencies is trying to make sense out of the variety of data gathered from sensors, satellites, social media, mobile communications, email, RFID, and enterprise applications. The solution to the big data challenge requires the ability to capture and analyze data from multiple sources in real-time - - a complex task that necessitates the convergence of multiple technologies into an integrated system for data collection, analysis, and dissemination. It also requires the right blend of human intelligence from skilled data scientists, data managers, mission experts and business analysts who can apply advanced analytics concepts to the agency's most urgent data challenges.

DA IntegratedApproach
Data Strategy Integrated Approach (click to enlarge)

Paragon's Data Management & Analytics services help customers understand and solve complex challenges (like fraud prevention, supply chain optimization and genomic mapping), realize significant cost savings and build self-sustaining internal analytics capability (customized academia-led education program) all while leveraging the customer's current infrastructure investments.


Paragon's Data Management & Analytics Services Include:

  • High-end analytics capabilities
  • Certified Data Scientists with advanced analytics degrees
  • Use customer's existing IT infrastructure and software investments to deliver faster ROI
  • Proven methodology that addresses full data lifecycle needs, including: data strategy, architecture, modeling, analysis and future roadmap
  • Build customer self sustainment through Data Analytics / Predictive Analytics education programs

Data Architecture

  • Data Schemas
  • Business Rules
  • Data Warehouse Design
  • Data Security
  • Disparate Data Sources

Data Modeling

  • Data Quality
  • Data Cleansing
  • COTS Software
  • Open Source Software


  • Text/Data Mining
  • Time-Series and Forecasting
  • Optimization
  • Survival Analysis
  • Customer Analytics
  • Geospatial Analytics
  • Fraud Detection
  • Web Analytics
  • Data Visualization


 For more information contact:
Brian Talbot
Vice President, Marketing & Strategy
This email address is being protected from spambots. You need JavaScript enabled to view it.
p 703-462-6162

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