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Contents
Title and Copyright Information
Preface
Audience
Documentation Accessibility
Related Documents
Conventions
1
Installing Customer Data Services Pack
1.1
Planning Your Installation
1.1.1
Prerequisites
1.1.2
Integrating with Siebel
1.1.3
Compatibility Matrix
1.1.4
Components
1.2
Installing EDQ-CDS
1.3
Configuring with Run Profiles
1.3.1
Pre-Initialized Reference Data
1.3.2
Initialize Reference Data Properties
1.3.2.1
Language Domains
1.3.2.2
High Frequency Name Maps
1.3.3
Matching Properties
1.3.3.1
Cluster Level (Real-time and Batch)
1.3.3.2
Cluster Comparison Limits
1.3.3.3
Match Threshold (Real-time and Batch)
1.3.3.4
Real-time Match Results
1.3.4
Address Cleaning Properties
1.3.4.1
Default Country Code
1.3.4.2
Whether Address Verification Should Enable Geocoding
1.3.4.3
Default Allowed Address Verification Result Codes
1.3.4.4
Default Minimum Address Verification Level
1.3.4.5
Default Minimum Address Verification Match Score
1.3.4.6
Number of Lines Returned by the Address Clean Process
1.3.4.7
Post-Processing
1.3.5
Staging Data for Batch Jobs
1.3.6
Staged Data Visibility
1.3.7
Address Cleaning Per Country
1.4
Initializing Custom Reference Data
1.5
Starting and Stopping Real-Time Jobs and Processes
1.5.1
Scheduling a Real-Time START ALL Job at Start Up
2
Using Business Services
2.1
Cleaning Services
2.1.1
Address Clean
2.1.1.1
Address Search
2.1.1.2
Address Verify
2.1.1.3
Using Address Clean
2.1.1.4
Using Address Clean with Siebel
2.1.1.5
Interface
2.1.1.6
Parameters
2.1.2
Individual Clean
2.1.2.1
Using Individual Clean
2.1.2.2
Interface
2.1.3
Entity Clean
2.1.3.1
Using Entity Clean
2.1.3.2
Interface
2.2
Clustering Services
2.2.1
Using Clustering Services
2.2.2
Interface
2.2.3
Parameters
2.3
Matching Services
2.3.1
Using Matching Services
2.3.2
Matching Using Multiple Identifier Values
2.3.3
Interfaces
2.3.4
Parameters
2.4
Data Interfaces
2.4.1
Candidate Interfaces
2.4.1.1
Specifying ID fields for Multi-value Fields to Identify Value Matched
2.4.1.2
Individual Candidates
2.4.1.3
Entity Candidates
2.4.1.4
Address Candidates
2.4.2
Matches Interface
2.4.3
Cluster Results Interfaces
2.4.3.1
Real-Time Cluster Results Interface
2.4.3.2
Batch Cluster Results Interface
2.5
Real-Time Integration
3
Using Matching
3.1
Objectives of Matching
3.1.1
Multiple Locales and Languages
3.1.2
Uses of Matching
3.1.2.1
Duplicate Prevention
3.1.2.2
Batch Matching
3.1.3
Match Tuning
3.2
Using Clustering
3.2.1
Cluster Level Algorithms
3.2.2
Cluster Values
3.2.3
Individual Clustering Algorithms
3.2.3.1
Examples
3.2.4
Entity Clustering Algorithms
3.2.4.1
Examples
3.2.5
Address Clustering Algorithms
3.2.5.1
Examples
3.3
Using Individual Matching
3.3.1
Name-Only Matching
3.3.2
Using Individual Name Matching
3.3.3
Using Individual Secondary Identifier Matching
3.4
Using Entity Matching
3.4.1
Using Entity Name Matching
3.4.2
Using Entity Secondary Identifier Matching
3.5
Using ID Matching
3.5.1
Using Unique ID Matching
3.5.2
Using Elimination IDs
3.6
Using Address Matching
4
Customizing Customer Data Services Pack
4.1
Using Stand-Alone Batch Matching
4.1.1
Using Stand-Alone Individual Batch Matching
4.1.2
Converting Data to the Interface Format
4.2
Using Cleaning Services
4.2.1
Customizing the Cleaning Services
4.2.1.1
Standardizing Job Titles
4.2.2
Changing Country-Specific Address Cleaning Settings
4.2.2.1
Reducing the Strictness of German Address Validation
4.3
Adjusting Matching
4.3.1
Changing the Match Clusters To Use During Matching
4.3.1.1
Turning Off Clusters in Individual Batch Matching
4.3.1.2
Turning Off Clusters in Entity Real-Time Matching
4.3.2
Changing Match Rule Enablement
4.3.3
Turning off Unused Match Functionality
4.3.3.1
Disabling Rules with Lower Scores
4.3.4
Reviewing Matches in EDQ
4.3.4.1
Enabling Match Review in Individual Batch Matching
4.3.4.2
Changing the Decision Key
4.3.4.3
Changing the Decision Key after Decisions Have Been Made
4.4
Modifying Reference Data Used in Matching
4.4.1
Stripping Words/Phrases from Name Fields
4.4.1.1
Removing Noise from Individual Names
4.4.1.2
Removing Noise from Entity Names
4.4.2
Changing Name Standardization
4.4.2.1
Adding Individual Name Standardizations
4.4.3
Resolving Conflicts
5
Installing and Using Data Quality Health Check
5.1
Architecture
5.1.1
Multiple Child Entities
5.2
Installing Data Quality Health Check
5.2.1
Installation Components
5.2.2
Installing the Software
5.2.3
Verifying the Installation
5.3
Configuring Data Quality Health Check
5.3.1
Configuring Business Rules
5.3.2
Configuring the Run Profile
5.3.2.1
Publish to Dashboard Setting
5.3.2.2
Source Input File Encoding
5.3.2.3
Publish Results as CSV Setting
5.3.2.4
Export Check Results
5.3.2.5
Address Verification Country Code
5.3.2.6
Results Book Settings
5.3.2.7
Staged Data Visibility Settings Within Server Console
5.4
Configuring the Dashboard
5.4.1
Example: Dashboard By Severity
5.4.1.1
Creating the Summaries
5.4.1.2
Creating the Indexes
5.4.2
Example - Dashboard By Business Function
5.5
Running Health Check Jobs and Viewing Results
5.5.1
Running a Health Check
5.5.1.1
Using the Siebel-Attached Mode
5.5.1.2
Using the Stand-Alone Mode
5.5.2
Viewing Data Quality Health Check Results
5.5.2.1
BI Output
5.5.2.2
EDQ Dashboard
5.5.2.3
Server Console
5.5.2.4
Results Books
5.6
Managing Business Rules
5.6.1
Example - Turning on a Rule
5.6.2
Example - Editing Rules: Adding an Extra Common Title
5.6.3
Example - Editing a Rule: Changing a Value Check
5.6.4
Example - Editing a Rule: Changing the Severity Level
5.6.5
Example - Adding a Rule
5.7
Understanding Data Interfaces
5.7.1
Individual Data
5.7.2
Entity Data
5.8
Dashboard Example Summaries
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