Data Cleansing is a process within the Data Storage and Management market that involves the identification and removal of inaccurate, incomplete, or irrelevant data from a database. It is an important step in the data management process, as it helps to ensure that the data is accurate and up-to-date. Data Cleansing can involve a variety of techniques, such as data validation, data normalization, data deduplication, and data enrichment. Data Cleansing is often used in conjunction with other data management processes, such as data integration, data migration, and data warehousing. Data Cleansing is an important part of the Data Storage and Management market, as it helps to ensure that the data is accurate and up-to-date. Companies in the Data Cleansing market include Informatica, Talend, IBM, Oracle, and Microsoft. Show Less Read more
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