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Data Lifecycle Management

Summary

Data Lifecycle Management (DLM) is the process of managing the flow of data throughout its lifecycle, from creation and storage to usage and deletion.

Detailed Description

Data Lifecycle Management (DLM) encompasses all stages of data management. This includes the data generation, storage, archiving, usage, sharing, and eventual deletion or destruction. Effective DLM helps organizations ensure data integrity, protect sensitive information, comply with legal and regulatory requirements, and optimize storage costs. DLM strategies can involve automated processes to transition data between different lifecycle stages and to enforce data governance policies.

Category
Data Management
Synonyms
Data Management Lifecycle
Data Stewardship
Data Governance

Impact Details

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Yirifi's stakeholder, regulatory-compliance, and risk-impact analysis for this term.

Compliance with Data Protection Regulations

Organizations leverage DLM to ensure that data handling practices comply with regulations such as GDPR, HIPAA, and CCPA.

Industries:

Healthcare
Finance
Education

Platforms:

Microsoft Azure
AWS
Google Cloud
Data Archiving

DLM strategies can help organizations archive older data that is no longer actively used, while ensuring it remains accessible and compliant.

Industries:

Legal
Government

Platforms:

IBM Data Archive
Veeam Backup & Replication
Data Migration

DLM practices facilitate the transfer of data between storage systems or from on-premises to cloud solutions, ensuring the data retains context and compliance.

Industries:

Retail
Manufacturing

Platforms:

Oracle Cloud
Salesforce
SAP

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