Data policies are formal statements that define the rules for how data is collected, stored, used, shared, and disposed of. They are the foundation of a data governance program.
Types of Data Policies
Data Classification Policy
Defines categories of data sensitivity (public, internal, confidential, restricted) and the handling requirements for each category. Helps employees understand how to treat different types of data. For example, a confidential dataset must be encrypted at rest and in transit, while a public dataset can be freely shared.
Data Quality Policy
Sets standards for data accuracy, completeness, consistency, and timeliness. Defines who is responsible for data quality and how quality issues are reported and resolved. A quality policy might require that all customer records have a valid postal code before being loaded into the CRM.
Data Retention Policy
Specifies how long different types of data are kept and how they are disposed of. Must comply with legal retention requirements while minimizing unnecessary data accumulation. Under PIPEDA, personal information must not be kept longer than necessary for its original purpose.
Data Access Policy
Defines who can access what data, under what conditions, and through what processes. Supports both security and privacy requirements. Access should follow the principle of least privilege: users get only the access they need to do their job.
Privacy Policy
Describes how personal information is collected, used, and protected. Required by law for organizations subject to PIPEDA. Must be written in plain language and made easily accessible to individuals.
Good policies are clear, concise, and actionable. They say what must be done, who is responsible, and what happens when the policy is violated. Avoid vague language like "should" or "may" when you mean "must." Policies that nobody reads or enforces are worse than no policy at all — they create a false sense of security.
Policy Lifecycle
Policies need owners, review cycles, and version control. A policy written in 2018 may not reflect current legal requirements or business practices. Assign a policy owner who reviews each policy at least annually and updates it when laws, regulations, or business practices change.
Key Takeaways
- Policies translate governance intent into actionable rules
- Each policy type addresses a different risk area
- Policies must be enforced and reviewed regularly to remain effective
- Plain language and clear accountability make policies work in practice
Learn about data Ownership.