The Challenge Many federal agencies struggle with a cumbersome legacy data infrastructure, excessively dispersed data, limited scientific tooling, and a reactive culture towards data analytics. In addition to these challenges, USDA FPAC’s workforce is limited in data science resources, lacks access to data tools, and has little training to analyze and extract insights from data. Exhibit 1: Multi-faceted nature of …
The Department of Homeland Security (DHS) Science and Technology (S&T) Finance and Budget Division (FBD)
The Challenge S&T needed a modern, web-based system to replace and consolidate their legacy IT systems. Teams across S&T were using manual processes and spreadsheets to track and analyze data in disparate systems and were unable to efficiently track research and development workstreams, measure how Congressional funding was used to support federal agencies, and ultimately report on impact and ROI. …
Fortune 100 Financial Services Provider
The Challenge Digital transformation is a business imperative for financial institutions seeking to capture market share and engage customers with mobile-friendly, self-service retirement options. This Fortune 100 financial services provider is no exception, and their leaders made a successful business case to increase the technology investment to upgrade and modernize the portfolio. Even with funding secured, achieving digital transformation is …
Unlocking the Power of Machine Learning for Freddie Mac
The Challenge Key to Freddie Mac’s mission and success is being an engaged and informed partner to banks and lenders. Large swings in loan processing volume, high or low, can be an early sign of trouble for Freddie Mac’s sellers. When loan volumes are erratic or outside of historical norms, it often signals that issues in the loan submission process …