
352 Part II n The Step-by-Step Guide to the TIQM Quality System
• Input Database Files
Participants:
Ad hoc Data Correction Team
Business Subject Experts
Duplicate Data Analyst
Techniques / Tools:
• Data Matching Techniques
• Data Mining Software
• Data Correction Software
Match and
Consolidate
Duplicate
Data
P5.6
• Duplicate Match List
• Duplicate Suspect List
• P5.6.01 Matched,
Consolidated and Re-
related Data:
Figure 8-13: P5.6. Match and Consolidate Duplicate Data.
Outputs of Step P5.6
P5.6.O1:
■n
Matched, Consolidated, and Re-related Data:
Duplicate Match List:
■n
Duplicates that were consolidated
Duplicate Suspect List:
■n
Records that are suspected of being duplicates
but not yet confirmed
Participants and Roles in Step P5.6
Participants and roles in Step P5.6 are described Table 8-4.
Table 8-4: P5.6. Match and Consolidate Data Participants and Roles.
PARTICIPANT IQ ACTIVITY ROLE
Ad Hoc Data
Correction Team
Led by the data correction project leader, develops match
and de-duplication logic or software to identify and con-
solidate duplicate records.
Business Subject
Experts
Identify potential Business Rules and Criteria for
Identifying potential duplicate records.
Business Information
Steward
Ensures the Completeness, Correctness, and Clarity
of Data Definition, Valid Value Sets and Business Rule
Specification for preventing duplicate record creation.
Duplicate Data Analyst Skilled in techniques for ident ...