Build and maintain trust scorecards for Polytomic

Build and maintain trust scorecards with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.

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Overview

The integration feature of Polytomic allows users to tag data as part of their trust scorecard. A trust scorecard is a tool used in data literacy to assess the reliability of data. It incorporates various metrics such as quality, source credibility, compliance, accessibility, and lineage documentation. By tagging data with Polytomic, stakeholders can educate themselves about data integrity, make informed decisions, improve data practices, and build confidence in the trustworthiness and quality of their data through transparent and accountable assessments.

How it works

Secoda's integration with Polytomic allows for seamless automation of your workflows. By combining triggers and actions, you can create a structured framework to activate and carry out various operations. Triggers can be set based on specific schedules, allowing you to control when subsequent actions are triggered. Actions encompass a wide range of operations, such as filtering and updating metadata. You have the flexibility to stack actions on top of each other, tailoring workflows to meet your team's specific needs. With Secoda, you can even perform bulk updates to metadata in Polytomic, making it easier to manage and organize your data. This integration is particularly useful for automatically tagging data for trust scorecards, utilizing documentation completeness, usage, and other specified variables from Polytomic through the Secoda Automations feature.

About Secoda

Polytomic integration with Secoda provides data teams with scalability for their data enablement practices. By utilizing this integration, the process of maintaining trust scorecards becomes effortless. Secoda functions as a comprehensive data management platform, consolidating your company's data catalog, lineage, documentation, and monitoring. This integration aids in enhancing data knowledge and streamlining data management practices.

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