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Integration with Mode allows users to easily tag data from Mode as part of their trust scorecard. A trust scorecard is an essential component of data literacy, as it evaluates various aspects of data reliability. This includes assessing quality metrics, source credibility, compliance with governance standards, accessibility, and lineage documentation. By incorporating data from Mode into the trust scorecard, stakeholders can gain valuable insights into data integrity. This helps them make informed decisions, improve data practices, and build confidence in the trustworthiness and quality of their data assets.
Secoda's Automations feature enables seamless integration between Secoda and Mode. This integration allows for the automatic tagging of data in Mode based on specified variables, such as documentation completeness and usage. The Automation is comprised of two parts: Triggers and Actions. Triggers dictate when the workflow is activated, with options to set specific schedules or custom triggers. Actions encompass various operations, including filtering and updating metadata. These actions can be stacked to create detailed and tailored workflows that meet the specific needs of your team. Bulk updates to metadata in Mode can also be effortlessly performed using Secoda.
Secoda's integration with Mode enhances the scalability of data teams' data enablement practices. By utilizing Mode, data teams can effortlessly maintain their trust scorecards, ensuring data integrity and reliability. Secoda acts as a centralized index for company-wide data knowledge, consolidating data catalog, lineage, documentation, and monitoring functionalities into one comprehensive data management platform. Together, Secoda and Mode streamline data processes, promoting efficient data utilization and governance.
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