Data Lifecycle Management Insights

What is Data Lifecycle Management?

Data Lifecycle Management (DLM) encompasses the policies and procedures for handling data throughout its lifespan, from creation and initial storage to archiving and eventual deletion. It aims to optimize data value, minimize storage costs, and ensure compliance with regulatory requirements. Common uses include improving data availability, reducing storage infrastructure expenses, and mitigating legal risks associated with data retention.

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What other technologies are related to Data Lifecycle Management?

Data Lifecycle Management Complementary Technologies

Insider Risk Management

Insider Risk Management helps identify and mitigate risks related to data misuse within an organization, which aligns with the goals of Data Lifecycle Management to protect data throughout its lifecycle.

mentioned alongside Data Lifecycle Management in 12% (54) of relevant job posts

Information Protection

Information Protection technologies, like data loss prevention (DLP) and encryption, are crucial for securing data throughout its lifecycle, making them a strong complement to Data Lifecycle Management strategies.

mentioned alongside Data Lifecycle Management in 6% (51) of relevant job posts

Azure Purview

Azure Purview is a data governance service that helps discover, understand, and manage data assets. This complements Data Lifecycle Management by providing metadata management and data lineage capabilities.

mentioned alongside Data Lifecycle Management in 0% (68) of relevant job posts