Customer Experience Management
Data cleansing is the process of identifying and correcting inaccuracies or inconsistencies in data to ensure it is accurate, complete, and reliable. This process is crucial for maintaining high-quality customer data, which is essential for effective analysis and interpretation of customer behaviors, as well as for the successful functioning of customer relationship management systems.
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