To identify data from Great Expectations that lacks an assigned team or user, and to flag it for review, you can utilize the automation features in Secoda. The automation consists of two parts: Triggers and Actions. Triggers initiate the workflow, and you can set them to run at regular intervals or based on a custom schedule. This ensures a systematic approach to triggering subsequent actions. Actions encompass various operations such as filtering and updating metadata. By stacking actions, you can create detailed workflows tailored to your team's specific requirements. Secoda enables you to perform bulk updates to metadata in Great Expectations, making it convenient to manage and review unassigned data.

When using Great Expectations with Secoda, data teams can effectively scale their data enablement practices. Secoda serves as an index of your company's data knowledge, consolidating various aspects like data catalog, lineage, documentation, and monitoring into a single data management platform. By incorporating Great Expectations into Secoda, teams can easily maintain their trust scorecards, streamlining the process and ensuring data reliability and accuracy. This integration empowers data teams to efficiently manage and leverage their data resources for better decision-making.