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Amazon Quicksight integration allows you to tag data from Quicksight as a component of your trust scorecard. A trust scorecard is used in data literacy to assess the reliability of data. It incorporates various quality metrics, source credibility, compliance with governance standards, accessibility, and lineage documentation. The purpose of a trust scorecard is to educate stakeholders about data integrity, enable informed decision-making, enhance data practices, and foster confidence in data assets. By transparently and accountably evaluating the trustworthiness and quality of data, a trust scorecard aims to improve the overall reliability of data.
Secoda's Automations feature allows for seamless integration with Amazon Quicksight. By utilizing Triggers, you can establish specific schedules to activate workflows that trigger subsequent Actions. These Actions encompass a wide range of operations, such as filtering and updating metadata. With the ability to stack Actions on top of one another, you can create customized workflows tailored to your team's specific needs. Secoda's Automations feature also facilitates bulk updates to metadata in Amazon Quicksight, allowing for efficient maintenance and organization of data. Through this integration, Secoda simplifies the process of automatically tagging data for trust scorecards based on variables like documentation completeness and usage from Amazon Quicksight.
When integrating Amazon Quicksight with Secoda, data teams can enhance their data enablement practices and improve scalability. Secoda, a comprehensive data management platform, acts as an index for your company's data knowledge. It consolidates data catalog, lineage, documentation, and monitoring into a centralized hub. By utilizing Amazon Quicksight in conjunction with Secoda, data teams can easily maintain their trust scorecards, ensuring the integrity and reliability of their data.
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