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The Data Quality Management Control (DQMC) Program Workgroup reports to the Medical Business Operations Group (MBOG) through the Chair of the DQMC Workgroup. The DQMC team serves as the advisory body for developing and recommending the strategic direction for the MBOG in support of the MHS DQMC Program and its associated Department Of Defense Instruction (DoDI 6040.40).
Data quality management (DQM) is the pipeline process that checks the data for required values, valid data types, and valid codes. You can also configure DQM to correct the data by providing default values, formatting numbers and dates, and adding new codes.
The DHA Data Quality Management Control (DQMC) Training Course is designed for those individuals who will function in the capacity of Data Quality (DQ) Manager. The function of the DQ Manager varies depending on the facility and the service. A common core description for this person would include:
Data quality management provides a context-specific process for improving the fitness of data that’s used for analysis and decision making. The goal is to create insights into the health of that data using various processes and technologies on increasingly bigger and more complex data sets.
Organization of Data Quality and Master Data Management. When it comes to improving data quality, a company culture that recognizes data as a key production factor for generating insights is essential. In the context of data quality and master data management, the responsibility for data plays a crucial role.
The role and responsibilities of a data quality manager are varied depending on the industry in which he or she works. However, resolving issues, maintaining company standards and being an effective communicator are just some of the responsibilities that are necessary.Author: Steve Lehr
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