# Indicators for data lifecycle management
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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.

**Topics**
+ [[AG.DLM.1] Define recovery objectives to maintain business continuity](ag.dlm.1-define-recovery-objectives-to-maintain-business-continuity.md)
+ [[AG.DLM.2] Strengthen security with systematic encryption enforcement](ag.dlm.2-strengthen-security-with-systematic-encryption-enforcement.md)
+ [[AG.DLM.3] Automate data processes for reliable collection, transformation, and storage using pipelines](ag.dlm.3-automate-data-processes-for-reliable-collection-transformation-and-storage-using-pipelines.md)
+ [[AG.DLM.4] Maintain data compliance with scalable classification strategies](ag.dlm.4-maintain-data-compliance-with-scalable-classification-strategies.md)
+ [[AG.DLM.5] Reduce risks and costs with systematic data retention strategies](ag.dlm.5-reduce-risks-and-costs-with-systematic-data-retention-strategies.md)
+ [[AG.DLM.6] Centralize shared data to enhance governance](ag.dlm.6-centralize-shared-data-to-enhance-governance.md)
+ [[AG.DLM.7] Ensure data safety with automated backup processes](ag.dlm.7-ensure-data-safety-with-automated-backup-processes.md)
+ [[AG.DLM.8] Improve traceability with data provenance tracking](ag.dlm.8-improve-traceability-with-data-provenance-tracking.md)