Data Standardization can be defined as the process of refining database with Database Monitoring Software to ensure that it can be shared with other organization. Ideally, E-list Hunter's data standardization uses fuzzy matching techniques to provide one of the most comprehensive Data Quality Metrics. It should be performed during data entry but if it is not done, a comprehensive back end process is necessary to eliminate all the data inconsistencies to give valid, accurate and standardization capabilities.
If you don't make use of Data Scraping software, your database won't be safe and you can face challenges, as these mixed up irrelevant data isn't just a possibility, but a probability.
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