In Mode, an advanced analytics platform that combines SQL, Python, and interactive data visualization, handling Personal Identifiable Information (PII) is of paramount importance for ensuring data privacy and compliance. Mode provides a suite of security features to protect PII, including encryption in transit and at rest, robust access controls, and activity logging, which are vital for safeguarding sensitive data. These capabilities enable organizations to analyze and visualize their data confidently while implementing necessary precautions to manage PII responsibly. Moreover, Mode adheres to industry-standard compliance frameworks, ensuring that data handling practices are up to date with regulatory requirements. By prioritizing the security of PII, Mode helps organizations maintain the trust of their data subjects and uphold stringent data protection standards.

Secoda's integration with Mode allows you to streamline your data workflows and enhance efficiency. By building custom workflows, you can easily tag personally identifiable information (PII) residing in Mode, saving time and reducing manual errors. The automation feature in Secoda consists of triggers and actions. Triggers enable you to schedule workflow activations, providing a structured framework for subsequent actions. Actions encompass various operations, such as filtering and updating metadata, allowing you to create detailed and tailored workflows based on your team's requirements. Additionally, Secoda empowers you to perform bulk updates to metadata in Mode, further simplifying data management tasks.

Secoda, the all-in-one data search, catalog, lineage, monitoring, and governance platform, now offers a seamless integration with Mode. With this integration, data teams can easily access and utilize their data within the Mode platform. Secoda's AI-powered data governance capabilities ensure that data is easily discoverable, reliable, and compliant, while Mode provides a powerful analytics and visualization environment. Together, Secoda and Mode empower data teams to efficiently explore, analyze, and derive insights from their data, making it the ideal solution for organizations looking to streamline their data management processes.