Data Solutions Case Study

Our team designed and implemented a data services hub that fully and seamlessly integrated with our client’s separate online and mobile systems.

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Data Services Hub

Our team designed and implemented a data services hub that fully and seamlessly integrated with our client’s separate online and mobile systems.

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.

The Problem

A review of similar, “best-in-class” processes 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.

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 hub was developed as a stand-alone system that fully and seamlessly integrated with the client’s separate online and mobile application systems. This provided 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.

Our Solution

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.

Incorporating data from multiple State, Federal and third-party vendor sources

Communicating and sharing data among state agencies, departments, and outside vendors

Challenges

Complying with a growing array of State and Federal regulations

Adhering to stringent privacy and security requirements

Providing complete audit functionality

Benefits

Cost-effective integration of disparate systems with improved quality and reduced effort

Decreased administrative burdens for system users

Speedier eligibility determination

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Improved detection and deterrence of fraud, waste, and abuse

Greater quality assurance

Speed and uptime

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Tell us what systems, reporting cycles, or data initiatives need attention. The form includes validation, status messaging, and a honeypot field.