Accessible
Data that can be accessed as required.
Accuracy
The data accurately reflects reality.
Auditability
An audit trail records the source of data and all access and changes.
Completeness
The data includes the required elements and attributes.
Context
The data includes context information such as source.
Factual accuracy
Data that is true.
Integrity
Free of unauthorized alteration and data corruption.
Metadata
There is sufficient data that describes the data.
Non-repudiation
Evidence that data such as transactions, documents and communications are authentic.
Ownership
The data has a named data custodian and data steward.
Precision
Recorded at an appropriate level of detail and granularity.
Relevance
The data is not meaningless or low value.
Reliability
Data that can be trusted.
Single source of truth
Data can have copies but it needs to be clear which copy is the master.
Standardized
The data complies to standards such as templates and standard formats.
Structure
The data is well architected and designed.
Timeliness
Up-to-date information that has arrived fast enough.
Traceable
There is a record of the data source and changes to data.
Validity
The data has been validated against defined rules, controls and standards.
Relevance
Data that is useful to support processes, procedures and decision making.Timeliness
How quickly data is created, updated and deleted.Precision
The exactness of data. For example, a company that has annual revenue of $3,451,001,323 as opposed to a 3 billion dollar company.Correctness
Data that is free of errors, omissions and inaccuracies.Completeness
Data that is compete relative to your business purpose. For example, an order for an economy car may need configuration details such as color, wheel size and electronics package. An order for a luxury car may require additional details such as engine type, seat and interior package.Credibility
Data that stems from reputable sources such as verified company press releases as opposed to social media rumors.Traceability
Data that can be traced to its source. If someone changed your prices, you should be able to figure out who.| Overview: Data Quality | ||
Type | ||
Definition | Information that fits its purpose. | |
Related Concepts | ||
