Whether the organisation wants to do this is the Million Dollar Question! The short answer to this question is?Continuous Process Improvement across all areas of data collection and usage. This typically involves implementing preventative steps to improve and monitor processes to prevent Data Quality problems, as opposed to correcting existing data defects.
A data model must be developed to reflect all the data of interest to the solution.
Data Quality should always be considered within the bigger picture of Data Management (DM). The bigger picture of DM can be appreciated by looking at a framework such as DAMA DMBOK. The DAMA DMBOK Framework shows the functional areas that need to be considered to ensure that the data which is collected and used is of good quality. So, for example:
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