Data Solutions

Data Services Hub


The client – a large state agency – recognized the need for an in-state data services hub that would pull together new and existing data sources to automate and streamline the processes used to determine eligibility for public benefit programs. The primary goal was to reduce the labor-intensive, manual application and verification processes used to determine applicant eligibility, which accounted for a significant portion of overall program administration costs.

A review of similar, “best-in-class” processes had found that automated data services, such as those used by American Express, could provide real-time information related to identity, residency, household composition, property, credit history, and other important details that could substantially reduce the time and effort required by staff to verify information and determine eligibility. This same information could also be used to help detect and deter fraud, waste, and abuse.


  • Incorporating data from multiple state, Federal and third-party vendor sources
  • Communicating and sharing data among state agencies, departments, and outside vendors
  • Complying with growing array of state and federal regulations
  • Adhering to stringent privacy and security requirements
  • Providing complete audit functionality


Our team designed, implemented, and maintained a data services hub that was used to determine eligibility for all human services programs, improved case-processing efficiencies and ensured greater overall program integrity. The data service hub was developed over an 18-year period and is recognized as one of the most comprehensive systems of its type in the entire United States.

The data services hub was developed as stand-alone system that integrated fully and seamlessly with the client’s separate online and mobile application systems to provide staff with quick and easy access to a consolidated view of data for each client across multiple data sources, as well as a searchable repository of historical requests and responses.

In addition, our team created a daily extract process that normalized, standardized, and aggregated program data from highly-complex and disparate sources for use in a wide range of activities, including case monitoring, ID authentication, and predictive analytics.


  • Cost-effective integration of disparate systems with improved quality and reduced effort
  • Decreased administrative burdens for system users
  • Speedier eligibility determination
  • Improved detection and deterrence of fraud, waste, and abuse
  • Greater quality assurance
  • Speed and uptime
  • Disaster recovery
  • Predictive analytics

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