Data Retention: 12 Best Practices for Enterprise Risk ...

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1. Every day, enterprise companies create, collect, and store a great amount of data from their customers, clients, employees, and partners. When this data isn’t properly retained, it can lead to significant risks, such as noncompliance with data regulations, reputational damage from breaches, high storage costs, and legal liability. “While enterprises often have a data retention policy on paper, it breaks in practice because:” Data lives across too many systems

   In Retention documentation and audits

2. While enterprises often have a data retention policy on paper, it breaks in practice because: “Data lives across too many systems” Collaboration creates copies

   In Retention documentation and audits

3. Data lives across too many systems “Collaboration creates copies” Exceptions too often override rules

   In Retention documentation and audits

4. Collaboration creates copies “Exceptions too often override rules” If you’re implementing a new data retention policy or updating an existing one, you can lower your risk by following a few best practices that increase your chance of properly enforcing the policy across real systems and collaboration workflows.

   In Retention documentation and audits