> For the complete documentation index, see [llms.txt](https://docs.infotopics.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.infotopics.com/deployment-and-licensing/security-and-data-protection/data-processing-and-gdpr-compliance.md). # Data processing & GDPR compliance Infotopics operates from the Netherlands (European Union) and complies with the **General Data Protection Regulation (GDPR)**. Data protection principles are embedded into both product design and operational processes. *** ### GDPR compliance Infotopics ensures that: * Personal data is processed lawfully and transparently * Data is processed only for defined and legitimate purposes * Data processing is limited to what is strictly necessary * Appropriate technical and organisational safeguards are in place *** ### Roles and responsibilities Under GDPR: * **Customers** act as the **Data Controller** * **Infotopics** acts as the **Data Processor** Customers retain ownership and control of their data at all times. *** ### Data Processing Agreement (DPA) The **Data Processing Agreement (DPA)** forms part of the contractual agreement between Infotopics and its customers. The DPA defines: * Scope and purpose of data processing * Types of data processed * Security measures applied * Use of sub-processors * Data breach notification procedures * Data retention and deletion policies The DPA applies primarily to **solutions that store or process data outside Tableau**, such as: * WriteBackExtreme * MailScheduler * DashboardUsage Extensions that operate entirely within Tableau dashboards and do not store data externally do not require persistent data processing agreements. *** ### Data retention and deletion Upon termination of services: * Customer-specific environments are removed * Application data (such as audit logs or mappings) is deleted * Only legally required contractual or financial records are retained --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.infotopics.com/deployment-and-licensing/security-and-data-protection/data-processing-and-gdpr-compliance.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.