Data standardization is the first step to ensure that your data is able to be shared across the enterprise. This establishes trustworthy data for use by other applications in the organization. Ideally, such standardization should be performed during data entry. If, for some reason this is not possible, a comprehensive back end process is necessary to eliminate any inconsistencies in the data.
OpenDQ uses a combination of advanced data cleansing, context sensitive dictionaries, reference files, as well as fuzzy matching techniques to provide one of the most comprehensive data standardization capabilities in the industry. Standardize data from any data domain using advanced capabilities of OpenDQ, including: