In Mode, data verification hinges on a process called "test scenario execution." Here, you define a set of rules to assess the data against expected values. Mode offers two verification modes: "Compare" and "Verify." Compare mode lets you contrast two datasets, highlighting any discrepancies. This is useful for identifying changes between different versions of your data.

"Verify" mode, on the other hand, focuses on validating data against pre-defined rules. You can specify conditions for each data field, ensuring it adheres to the expected format, range, or specific values. Mode also allows you to halt the test scenario if verification errors are encountered, preventing potentially flawed data from progressing further in the analysis pipeline. By combining these verification methods, Mode empowers you to systematically check your data quality and ensure its accuracy before it reaches the visualization or analysis stage.

Integration with Secoda allows you to verify data in Mode. An Automation in Secoda consists of Triggers and Actions. Triggers activate the workflow based on specific schedules or custom basis. Actions include various operations like filtering and updating metadata. You can stack multiple actions to create customized workflows for your team. Secoda enables bulk updates to metadata in Mode.

Secoda's integration with Mode allows users to verify data through the platform. By consolidating data catalog, lineage, documentation, and monitoring into a single data management platform, Secoda serves as an index of your company's data knowledge. With its AI data governance capabilities, Secoda offers a seamless and reliable integration with Mode.