Indicators for data lifecycle management

Enforce stringent controls on data through its entire lifecycle to ensure residency, privacy, sovereignty, and security. Scale data-related processes and align them with regulatory compliance, protecting software from disruptions due to data mismanagement.

Indicators

[AG.DLM.1] Define recovery objectives to maintain business continuity
[AG.DLM.2] Strengthen security with systematic encryption enforcement
[AG.DLM.3] Automate data processes for reliable collection, transformation, and storage using pipelines
[AG.DLM.4] Maintain data compliance with scalable classification strategies
[AG.DLM.5] Reduce risks and costs with systematic data retention strategies
[AG.DLM.6] Centralize shared data to enhance governance
[AG.DLM.7] Ensure data safety with automated backup processes
[AG.DLM.8] Improve traceability with data provenance tracking

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Document Conventions

Data lifecycle management

[AG.DLM.1] Define recovery objectives to maintain business continuity