How is data retention implemented?
What Data Retention Policy Best Practices Should I Follow?
- Do your research, first.
- Determine what your business needs are.
- Make data retention policy development a team effort.
- Don’t overcomplicate things.
- Create different policies for different data types.
- Be transparent.
- Invest in an archiving solution.
Why do you need a data retention policy?
A data retention policy is the first step in helping protect an organization’s data and avoid financial, civil, and criminal penalties that increasingly accompany poor data management practices.
How are retention policies used in an organization?
Use a retention policy to manage the data for your organization by deciding proactively whether to retain content, delete content, or retain and then delete the content. A retention policy lets you do this very efficiently by assigning the same retention settings at the container level to be automatically inherited by content in that container.
Can a retention policy include delete and archive tags?
A retention policy can contain both archive tags (tags that move items to the personal archive mailbox) and deletion tags (tags that delete items). A mailbox item can also have both types of tags applied. Archive mailboxes don’t have a separate retention policy.
When to use retention labels in Microsoft policies?
Publish and apply your retention labels. While retention policies are designed for “set it and forget it” configuration, retention labels are reusable building blocks that can be used in multiple policies and can be incorporated into user workflows.
Is there a limit to the number of retention labels?
There is no limit to the number of retention labels that are supported for a tenant. However, 10,000 is the maximum number of policies that are supported for a tenant and these include the policies that apply the labels (retention label policies and auto-apply retention policies), as well as retention policies.