What ensures data security and integrity in Platform Analytics?

User roles determining data access levels are crucial in ensuring data security and integrity within Platform Analytics. By defining different user roles, an organization can tailor access privileges based on the specific responsibilities and requirements of each role. This approach helps to ensure that sensitive data is only accessible to authorized personnel, thereby minimizing the risk of unauthorized access or data breaches.

Furthermore, with well-defined user roles, the integrity of the data can be managed more effectively. Only users with the appropriate roles can modify or interact with the data in certain ways, which prevents inadvertent alterations or destructive actions by individuals who lack the expertise or permission to make those changes. Thus, implementing user roles not only protects sensitive information but also maintains the overall accuracy and reliability of the analytics platform.

The other options do not provide the same level of systemic security and integrity control over the data. For example, restricting report creation to one user may limit accessibility but does not provide a comprehensive security framework for all users or data interactions. Automatic data encryption is a strong security feature, but without proper access control, encrypted data can still be at risk if unauthorized users have access. Limiting physical access to computers helps in a different aspect of security but does not directly address data integrity or user access to the analytics platform itself.