After applying several well-known clustering algorithms, our team developed a new, proprietary algorithm to meet our client’s needs.

After investigating several available algorithms, Sparkfish created a new algorithm that improved upon the existing options.

Our team built, tested, and refined a predictive model that analyzed historical data from multiple sources and compared against current data.

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

Our team designed, developed, and integrated a real-time solution which allowed our client to streamline their existing processes.

Our team developed an efficient, cost-effective alternative to an enterprise data warehouse by designing and building a data lake.

Our client wanted a seamless, real-time integration of an electronic Asset Verification System into its existing data services hub and that is exactly what we did.

Our team developed and implemented the first, and largest, state-level implementation of an integrated web service.

Sparkfish designed, developed and implemented a Java web service that integrated a 20 year old legacy system database.

Our team created a Multiplexer API to provide web service access to our client’s data services hub.

We integrated data into our client’s data services hub, which combined public information with private information to present staff with a combined report.

Our team designed, developed and administered an administrative portal and dashboard that enabled reporting, tracking and monitoring of day-to-day processes.