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Contents
Title and Copyright Information
Preface
Audience
Documentation Accessibility
Related Documents
Conventions
What's New In This Guide
New and Changed Features for 12
c
(12.2.1.1)
1
Planning the Enterprise Data Quality Siebel Connector Integration
1.1
Understanding the Enterprise Data Quality Siebel Connector
1.1.1
Understanding the EDQ Siebel Connector Architecture
1.1.2
Using EDQ-CDS With Siebel CRM
1.1.3
Using EDQ-CDS With Siebel UCM
1.1.3.1
Migrating High Volumes of Data
1.2
Verifying the Siebel Server and Instance
1.3
Preparing for the EDQ Siebel Connector Integration
2
Integrating the Enterprise Data Quality Siebel Connector
2.1
Integrating the EDQ Siebel Connector With a Windows Siebel Server
2.2
Integrating the Connector With AIX, Linux, and Solaris Siebel Servers
2.3
Resolving Conflicts Between Siebel Java Business Services and the EDQ Siebel Connector
3
Configuring the Enterprise Data Quality Siebel Connector
3.1
Configuring the EDQ Siebel Connector
3.1.1
Understanding the Settings
3.1.1.1
CDS Connection Settings
3.1.1.2
Multiple Child Entity Groupings
3.1.1.3
Batch Job Definitions
3.2
Configuring Siebel to Use Customer Data Services
3.2.1
Server Configuration
3.2.2
Data Quality Administration
3.2.3
User Preferences
3.2.4
(Optional) Creating Templates to Enable Batch Data Quality Jobs
3.3
Configuring the Staging Database
3.3.1
Creating Tables
3.3.2
Configuring Connections
3.4
Finalizing and Verifying the Configuration
3.4.1
Generating Cluster Keys
3.4.2
Testing the Account Cleaning Service
3.4.3
Testing the Batch Matching Service
3.4.4
Testing Real-Time Contact Matching
3.5
Understanding the Job Template Configuration
3.6
Understanding the Field Mappings for Business Components
3.6.1
UIDs, EIDs, and IEIDs
3.6.2
Account - Data Cleansing
3.6.3
Account - DeDuplication
3.6.4
CUT Address - Data Cleansing
3.6.5
CUT Address - DeDuplication
3.6.6
Personal Address - Data Cleansing
3.6.7
Personal Address - DeDuplication
3.6.8
Contact - Data Cleansing
3.6.9
Contact - DeDuplication
3.6.10
List Management Prospective Contact - Data Cleansing
3.6.11
List Management Prospective Contact - DeDuplication
3.7
Understanding the Vendor Parameters
3.7.1
Query and Token Expression Parameters
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