Contact Data Quality and Retail Organizations: Current Perceptions, Cleansing Practices and Accuracy Levels
Best Practices to Clean and Maintain a Database
With so much bad data contained in retail databases, implementing a cleansing strategy can be overwhelming. But with contact data playing such a key role in so many business processes, it's important to get started.
Begin with understanding your database to identify common errors and controls that are already in place to cleanse data. Next, clean existing data with third-party resources or manual processes, depending on the size of your database. It's important to clean data so that it doesn't continue to waste resources. As part of this cleaning process, duplicate records should be removed.
- Companies:
- Experian
- QAS, an Experian Co.
- Places:
- U.S.
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