Data Driven Decisions through Data Modernization for Largest Health & Human Services Provider
Data modernization is the process of transforming data into usable, accessible, and scalable forms. Data can be used to produce insights that guide decisions to improve business performance and outcomes. Data-driven decision making is a practice where decisions are made based on data or statistics rather than intuition or guesswork. A large number of companies now rely on big data as a key part of their decision-making process. The Department of Health and Human Services (HHS) can benefit from both big data and analytics to make more informed decisions about how to serve its clients better through enhanced services, improved outcomes, and higher quality care. The data modernization transformation will have a significant impact on the way we do business and how we serve our stakeholders. The project’s objective is to provide the necessary information, tools, and resources to enable state-level health and human services agencies to modernize their data management practices. Challenges Da