Bookshelf Home | Contents | Index | PDF |
Siebel Data Quality Administration Guide > Siebel Data Quality Concepts > Data MatchingThe SDQ Universal Connector and the SDQ Matching Server support data matching on the Account, Contact, and List Mgmt Prospective Contact business components. For each type of record, data matching is performed for the current record against all other records of the same type, and with the same match keys, in the application using the fields specified in the Third Party Administration view. The mapping between the Siebel application field names and the vendor field names is defined for each business component. For information about the preconfigured field mappings for SSA, see Preconfigured Field Mappings for SSA. SDQ performs matching using fields, for example, addresses, that can have multi-value group (MVG) values associated with the type of record being matched. However, SDQ is not currently able to match using MVGs. Therefore, when performing matching for a contact, SDQ checks only the primary address for each contact record and does not consider other addresses. In real-time data matching, whenever an account, contact, or prospect record is committed to the database, a request is automatically submitted to the Deduplication business service. The business service communicates with third-party data quality software, which checks for possible matches to the newly committed record and reports the results to the Siebel application. In batch mode data matching, you first start a server task to generate or refresh the keys, and then start another server task to perform data matching. For information about performing batch mode data matching, see Matching Data Using Batch Jobs. In both real-time and batch mode, whenever a primary address is updated for an account or contact record, match keys are regenerated and data matching is performed for that account or contact. The following is the overall sequence of events in data matching:
The following topics describe the steps in this sequence in detail. |
Siebel Data Quality Administration Guide | Copyright © 2011, Oracle and/or its affiliates. All rights reserved. Legal Notices. | |