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Great Expectations can be integrated into your trust scorecard, which evaluates data reliability and incorporates quality metrics, source credibility, compliance with governance standards, accessibility, and lineage documentation. By tagging data from Great Expectations as part of this scorecard, stakeholders can be educated on data integrity and make informed decisions. This integration helps improve data practices and build confidence in the trustworthiness and quality of data assets by providing transparent and accountable assessments.
Secoda's Automations feature enables seamless integration with Great Expectations. An Automation consists of Triggers and Actions that streamline your workflow. Triggers can be scheduled at specific intervals, such as hourly or daily, to activate subsequent Actions. Actions encompass a variety of operations, including filtering and updating metadata, allowing you to design customized workflows to meet your team's requirements. Through this integration, Secoda simplifies the process of performing bulk updates to metadata in Great Expectations, enabling you to leverage data tagging based on variables like documentation completeness and usage for trust scorecards.
By integrating Great Expectations with Secoda, data teams can effectively enhance their data enablement practices. Secoda serves as a comprehensive index for a company's data knowledge, consolidating important aspects such as the data catalog, lineage, documentation, and monitoring into a single, user-friendly data management platform. This integration facilitates the scalability of data teams and simplifies the process of maintaining trust scorecards, ultimately improving the overall efficiency and reliability of data operations.
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