
TIQM P5. Correct Data and Control Data Redundancy 336
Overview 336
Objectives 337
Avoiding Pitfalls 337
Process Steps: Correct Data and Control Data Redundancy 338
Step P5.1: Identify Data, Target, and Sources
and Plan Audits and Controls 338
Step P5.1: Process Steps and Guidelines 341
Step P5.2: Conduct TIQM P1. Assess Information Product
Specifications and Architecture Quality 342
Step P5.2: Process Steps and Guidelines 343
Step P5.3: Conduct TIQM P2. Assess Information Quality 343
Step P5.3: Process Steps and Guidelines 345
Step P5.4: Parse and Standardize Data 345
Step P5.4: Process Steps and Guidelines 347
Step P5.5: Correct and Complete Data in the Source 348
Step P5.5: Process Steps and Guidelines 350
Step P5.6: Match and Consolidate Data 351
Step P5.6: Process Steps and Guidelines 353
Step P5.7: Analyze Defect Types 354
Step P5.7: Process Steps and Guidelines 356
Step P5.8: Transform, Enhance, and Calculate Derived Data 356
Step P5.8: Process Steps and Guidelines 358
Step P5.9: Audit and Control Data Extraction, Transformation,
and Loading 360
Step P5.9: Process Steps and Guidelines 362
Strengths and Weaknesses of Data Correction Software 365
Summary 366
Part III Information Quality Applied to
Core Business Value Circles 367
Chapter 9 Information Quality Applied to Customer Care:
“Prospect-to-Valued-and-Valuable-Customer” 369
Introduction to Information Qua ...