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.
Data conversion analysts convert data from one type to another; in some positions, the objective is to convert data to a more user-friendly format. Problem solving skills are important, as different clients will need different types of data conversions and the analyst must bring solutions to realization.