Siebel Data Quality Administration Guide > Overview of Data Quality >
How Data Quality Relates to Other Entities in Siebel Business Applications
The data quality products integrate into the overall Siebel Business Applications environment from Oracle, as shown in Figure 1, as follows:
- In real-time mode, the Universal Connector is called by interactive object managers such as the Call Center object manager.
- In batch mode, the Universal Connector is called by the preconfigured server component, Data Quality Manager (DQMgr), either from the Siebel application user interface, or by starting tasks with the Siebel Server Manager command-line interface, the srvrmgr program. For more information, see Siebel System Administration Guide on Siebel Bookshelf.
NOTE: The Siebel Bookshelf is available on Oracle Technology Network (http://www.oracle.com/technetwork/indexes/documentation/index.html) and Oracle Software Delivery Cloud. It might also be installed locally on your intranet or on a network location.
- The Universal Connector obtains account, contact, and prospect field data from the Siebel database using the Deduplication business service for data matching, and the Data Cleansing business service for data cleansing. Like other business services, these are reusable modules containing a set of methods. Using data quality functionality, business services simplify the task of moving data and converting data formats between the Siebel application and external applications. The business services can also be accessed by Siebel VB or Siebel eScript code or directly from a workflow process.
- The fields used in data cleansing and data matching are sent to the appropriate cleansing or matching engine.
- Data matching and data cleansing can also be enabled for the Enterprise Application Integration (EAI) adapter and Oracle's Siebel Universal Customer Master (UCM) products.
For more information about business services and enabling data quality when using EAI, see Integration Platform Technologies: Siebel Enterprise Application Integration.
Figure 1. Data Quality Architecture