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Data Governance

Data quality threshold

In a nutshell

The minimum acceptable level of a quality metric: below it, action is needed. It is set by whoever uses the data, not the technical team.

The threshold separates acceptable from unacceptable. For example: “at least 98% of customers with a valid email”.

There is no universal threshold. It depends on the use: data feeding an invoice or a high-risk AI model demands more than data used for an internal statistic.

Without an agreed threshold, a red indicator obliges nobody to act. That is why it should be set with the business owner and reviewed once a year.

Read more: What level of data quality is acceptable.

Reference: DAMA-DMBOK

Related terms

Data quality ruleData quality KPIData Owner
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← Back to the glossaryUpdated: October 2026 · Informational content, not legal advice.