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What is SLA for Data

Definition

A data SLA (service-level agreement) is a formal commitment that defines the expected quality, freshness, availability, and timeliness of a data product, giving consumers measurable guarantees and holding the producing team accountable to agreed targets.

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Sets clear, measurable expectations for data freshness, quality, and availability
Holds producing teams accountable to agreed, monitored targets
Gives consumers confidence to build on data with known guarantees
Provides a basis to prioritise fixes when commitments are missed

Real World Example

A data team commits to an SLA that the daily revenue table will be refreshed and validated by 7 a.m. with 99 percent completeness, and tracks adherence so the finance team can rely on it for the morning report.

FAQs

What does a data SLA specify?

It specifies measurable targets for data freshness, completeness, accuracy, availability, and delivery timing for a data product.

Why have SLAs for data?

They turn vague expectations into accountable commitments, letting consumers trust and build on data with known guarantees.

What happens when an SLA is breached?

Breaches trigger alerts and, often, defined escalation or remediation processes, and inform prioritisation of fixes.