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Bottom-up Approach to Data Quality with Conformed Dimensions
Completeness
Existence
Lineage
Source Documentation
Segment Documentation
Target Documentation
End-to-End Graphical Documentation
Validity
Values in Specified Range
Values Conform to Business Rule
Domain of Predefined Values
Values Conform to Data Type
Values Conform to Format
Integrity
Referential Integrity
consistency
Format Consistency
Logical Consistency
accuracy
Match to Agreed Source
Equivalence of Redundant or Distributed Data
Temporal Consistency
representation
Metadata Availability
Finding the Right Data Required of Machine Learning
Record Population
Completeness
Coverage
Unclean data at the Dry Cleaners
Validity
Integrity
accuracy
Lack of Data Quality for Point-of-Sale Can Lead to Unintended Privacy Breach
Accessiblity
Currency
Access-Control
Duplicate Profile Photos Show Integrity Issues
accuracy
Integrity
Why Completeness as a First Step
Completeness
cleansing
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Real World Data Quality Examples
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