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.
Get startedRetool is a tool that enables the tagging of data within a trust scorecard. A trust scorecard is used in data literacy to assess the reliability of data. It considers various factors such as quality metrics, source credibility, compliance with governance standards, accessibility, and lineage documentation. By incorporating Retool, stakeholders can gain insights into the integrity of the data and make informed decisions. This integration helps improve data practices and builds confidence in data assets by providing transparent and accountable assessments of data's trustworthiness and quality.
Secoda Automations offer a seamless integration with Retool, enabling users to effortlessly manage and optimize their workflows. An Automation in Retool consists of Triggers and Actions. Triggers are responsible for initiating the workflow, and users can easily set specific schedules for triggering subsequent actions, creating a structured framework for their automation. Actions, on the other hand, encompass a wide range of operations such as filtering and updating metadata. Users have the flexibility to stack multiple actions, allowing for the creation of detailed workflows that align with their team's unique requirements. With Secoda, users can leverage the integration to perform bulk updates to metadata in Retool, streamlining and enhancing data management processes.
Secoda's integration with Retool allows data teams to enhance their data enablement practices by simplifying the management of trust scorecards. With Secoda serving as a comprehensive index of your company's data knowledge, it consolidates your data catalog, lineage, documentation, and monitoring into one user-friendly data management platform. By utilizing Retool with Secoda, data teams can effortlessly scale their operations, improving efficiency and maintaining trustworthiness in their data practices.