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top   »  information technology   »  data   »  data quality   »  data integrity   »  data integrity vs data quality

Data Integrity vs Data Quality

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Data integrity is the validity of data.
Data quality is the usefulness of data to serve a purpose.

Data Integrity vs Data Quality

Data integrity is the opposite of data corruption. It is a narrowly defined term that applies to the physical and logical validity of data.
Data quality is a far more comprehensive term that includes the integrity, relevance, timeliness, precision, correctness, completeness, credibility, traceability and confidentiality of data. It is used to describe the value of data to a business. Anything that makes data less valuable reduces data quality.
Data Integrity vs Data Quality
Data Integrity
Data Quality
Definition
The physical and logical validity of data.
Data that is useful to its purpose.

Data

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Cite »

Data Quality

An overview of data quality criteria.

Data Corruption

An overview of data corruption.

Data Integrity

An overview of data integrity.

Data Rot

An overview of data rot.

Data Cleansing

A definition of data cleansing with business examples.

Data Artifact

The common types of data artifact.

Data Veracity

A definition of data veracity with examples.

Data Quality Examples

An overview of data quality with examples.

Legacy Data

An overview of legacy data with examples.

Data

An overview of data with a list of examples.

Types Of Data

The basic types of data.

Dark Data

The definition of dark data with examples.

Data Massage

The mysteries of data massage.

Data Definition

Several useful definitions of data.

Analytics

A definition of analytics with examples.

Data vs Information

The difference between data and information.

Hard Data vs Soft Data

The difference between hard data and soft data.

Human Readable

A definition of human readable.

Data Loss

The common types of data loss.

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