Medicaid Benefits Data Collection. This data collection reflects Medicaid benefits covered in each state, limitations applied to those benefits, cost-sharing charges, and the reimbursement methodologies used for those benefits as of October 1, 2012.
Data Rationalization is a Managed Meta Data Environment (MME) enabled application which creates/extends an ontology for a domain into the structured data world, based on model objects stored in various models (of varying levels of detail, across model files and modeling tools) and other meta data.
Thatâs where interpretation of data comes in. It is designed to help people with limited statistical or programming skills quickly become productive in an increasingly digitized workplace. Data analysis and interpretation is the process of assigning meaning to the collected information and determining the conclusions, significance, and implications of the findings.