Best practice 3.7 – Implement data retention policies for each class of data in the analytics workload - Data Analytics Lens
Suggestion 3.7.1 – Create backup requirements and policies based on data classificationsSuggestion 3.7.2 – Create data retention requirement policies based on the data classificationsSuggestion 3.7.3 – Create data version requirements and policies

Best practice 3.7 – Implement data retention policies for each class of data in the analytics workload

The business’s data classification policies determine how long the analytics workload should retain the data and how long backups should be kept. These policies help ensure that every system follows the data security rules and compliance requirements. The analytics workload should implement data retention and backup policies according to these data classification policies. For example, if the policy requires every system to retain the operational data for five years, the analytics systems should implement rules to keep the in-scoped data for five years. More information on data retention can be found in Sustainability .

Suggestion 3.7.1 – Create backup requirements and policies based on data classifications

Data backup should be based on business requirements, such as recovery point objective (RPO), recovery time objective (RTO), data classifications, and the compliance and audit requirements.

Suggestion 3.7.2 – Create data retention requirement policies based on the data classifications

Avoid creating blanket retention policies. Instead, policies should be tailored to individual data assets based on their retention requirements.

For more details, refer to the following information:

Suggestion 3.7.3 – Create data version requirements and policies

Implement a process that captures the data version to address, based on compliance, security, and operational requirements.

For more details, refer to the following information: