What is Data Lifecycle Governance

Definition

Data lifecycle governance is the management of data through every stage of its life, from creation and use to archival and deletion, applying policies for quality, security, retention, and disposal so data is handled appropriately at each phase.

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Governs data consistently from creation through to deletion
Applies retention and disposal policies to reduce risk and cost
Ensures quality and security controls at each lifecycle stage
Prevents data from being kept or exposed beyond its useful life

Real World Example

A company applies data lifecycle governance so customer data is quality-checked at creation, secured in use, archived when inactive, and deleted at the end of its retention period, controlling risk and cost across its life.

FAQs

What stages does data lifecycle governance cover?

Creation, storage, use, sharing, archival, and deletion, with policies applied at each stage.

Why govern the full lifecycle?

Risks and obligations differ by stage, so governing the whole lifecycle controls quality, security, cost, and compliance.

How does it relate to retention policy?

Retention and disposal rules are a key part of lifecycle governance, determining when data is archived or deleted.