Program office staff has received a variety of different data files from contractors, stakeholders, clients, and enterprise data programs. Each file is in a different format.
How can you efficiently clean, ingest, synthesize, and analyze the pertinent information to make meaningful business decisions in a timely manner?
Using customized data management, business intelligence, and machine learning capabilities, SOAR-MX provides a centralized and dynamic platform for monitoring historical and current repairs data as well as associated funding.
Deployment and Value Statement
With integrated predictive analytics, end-users can also accurately forecast potential risks to the program based off unknown and future data.
Rather than deploying static modeling the team developed a continual machine learning framework with the ability to retrain and reparametrize the model at the introduction of new data, resulting in minimized model performance monitoring needs and consistently accurate results over time.