When working on GDPR compliance, Ardoq can help streamline the process and ensure that all aspects of your organization's data management are taken into consideration.
Document GDPR based on what you know. Start with the information that you have access to and your role within the organization. Concentrate on areas that pose the greatest risk to the organization.
Divide your GDPR documentation into domain-specific categories, so experts can manage workspaces related to their expertise. Maintaining focus and encouraging collaboration is easier with this modular approach.
When extending your metamodel to identify where personal or sensitive data is processed, consider our Data Lineage Use Case Guide. GDPR compliance can be built on this and provide valuable insights into risk management and compliance.
Utilize multi-select fields for PII types: Create a multi-select field called "PII type" on the data entity component type, containing typical PII types such as personal ID, health information, sexual orientation, and affiliation with unions. Locate specific PII types by utilizing the references between applications and data entities.
Utilize tools to streamline data collection and management: Ardoq offers tools like Excel importer, API, and Zapier integration to help automate or streamline data collection and management for GDPR compliance.
By following these steps and maintaining a structured, collaborative approach to GDPR documentation, organizations can more effectively navigate the complexities of compliance while leveraging Ardoq's capabilities to manage and maintain data lineage, risk, and compliance aspects. Utilizing multi-select fields for PII types can help identify and manage specific personal and sensitive data within the organization, contributing to more robust GDPR compliance.