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Siebel Data Quality Matching Server Functionality


The Siebel Data Quality Matching Server provides the following functionality:

The following is the matching process used by the Siebel Data Quality Matching Server:

  1. Keys are generated for the existing customer records in the database.
  2. Typically keys are generated and refreshed on a periodic basis by the data administrator. In addition, if real-time deduplication is enabled for end users, keys are also automatically generated for a customer record whenever a user inserts or modifies an existing record. For more information about key generation, see Batch Mode.

  3. When a user enters or modifies a record or the administrator submits a batch deduplication request, the Siebel Data Quality Matching Server identifies candidate matches for each record by locating existing records whose corresponding keys fall within a range around the master record. Like the keys, these ranges are based on a person's name (first name, middle name, last name) for prospects and contacts, and account name for accounts.
  4. A match score is computed for each candidate record.
  5. The match score is a combination of a large number of rules that compensate for how frequently a given name or word appears in the real world. The rules then weigh the similarity of each field on the record according to the real-world frequency of the name. For example, Smith is a common last name, so a match on a last name of Smith would carry less weight than a match on a rare last name. For more information about matching rules, see Matching Rule Modification.

  6. The match scores are returned by the matching routine.
  7. Any existing records in which match scores exceed the threshold specified in the Data Quality Settings are considered as matches. For more information about match threshold and Data Quality Settings, see Applying Siebel Data Quality Settings.

For more information about the search functionality and matching process, see Match Process for Siebel Data Quality Matching Server.


 Siebel Data Quality Administration Guide 
 Published: 15 May 2003