Data quality
Dashboard Design Concepts
Olga Scrivner, PhD
President, Scrivner Solutions Inc
Top dashboard benefits
Top dashboard benefits
Top dashboard benefits
Top dashboard benefits
Top dashboard benefits
Common challenges
Common challenges
Common challenges
Data quality dimensions
Good quality data can power accurate analysis and support trusted business decisions
Completeness and uniqueness
Completeness: ensures sufficient data
Complete data: no missing entries (null, blank)
Uniqueness: ensures no duplication
Unique data: item is recorded only once
Integrity, validity, accuracy, consistency
Integrity
- Ensures that all enterprise data can be traced and connected
Validity
- Conforms to the syntax (format, type, range) of its definition
Accuracy
- The degree to which data correctly describes the real-world object or event
Consistency
- The same information is stored and used at multiple instances
Data quality check
Data quality check
Data quality check
Data quality check
Data quality check
Data quality check
What is metadata?
Data about data: when, by whom, how, why
What is metadata?
Data about data: when, by whom, how, why
What is metadata?
Data about data: when, by whom, how, why
What is metadata?
Data about data: when, by whom, how, why
What is metadata?
Data about data: when, by whom, how, why
Metadata and dashboard
Data reliability: trusted sources
Data selection: appropriate data gathering
Data reproducibility: ability to get similar results when applying the same design
Data imputation: appropriate reduction of anomalies caused by missing data
