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1.
INTRODUCTION TO DATA QUALITY
Data quality definitions and importance of data quality, leadership in
data quality, challenges and solutions to data quality problems
2.
DATA QUALITY METRICS
Data quality indicators, dimensions of data quality,
3.
DATA QUALITY ASSURANCE
Definitions
of quality assurance and data quality assurance, importance of data quality
assurance, data quality assurance plan, data quality assurance methods,
techniques used in data quality assurance, application of data quality desk
review, Lot Quality Assurance Sampling (LQAS) and Routine Data Quality
Assessment (RDQA) in data quality management.
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