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The data stored in account, contact, and prospect records in Oracle's Siebel Business Applications represents your existing and potential customers. Because of the importance of this data, maintaining its quality is essential. To ensure data quality, functionality is provided to clean this data and to remove duplicated data.
Data cleansing is supported for the Account, Business Address, Contact, and List Mgmt Prospective Contact business components. For each business component, particular fields are used in data cleansing and this set of fields is configurable.
Data matching is the identification of potential duplicates for account, contact, and prospect records. Potential duplicate records are displayed in the Siebel application allowing you to manually merge duplicate records into a single record.
Data matching is supported for the Account, Contact, and List Mgmt Prospective Contact business components. For each business component, a set of fields is used for comparisons in the data matching process. The set of fields is configurable, and you can also specify other matching preferences such as the degree of matching required for records to be identified as potential duplicates.
TIP: The term deduplication is often used as a synonym for data matching particularly in names of system parameters.
|Siebel Data Quality Administration Guide
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