What is data lifecycle management?
An example of an AI chatbot conversation about data lifecycle management.
What is data lifecycle management?
Data lifecycle management (DLM) is a strategy for managing data from its creation to its deletion.
Why is it important for businesses?
It's crucial for compliance, cost management, and ensuring data quality throughout its lifecycle.
Can you explain the stages of the data lifecycle?
Sure! The stages typically include data creation, storage, usage, sharing, archiving, and deletion.
What tools can help with data lifecycle management?
There are various tools like data governance platforms, data archiving solutions, and data analytics tools that can assist.
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