Automations

Automatically tag your most used assets in Thoughtspot

⚡️ Automation

Automatically tag your most used assets 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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Automations

Automatically tag your most used assets in Thoughtspot

⚡️ Automation

Automatically tag your most used assets 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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Thoughtspot
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Overview

Secoda integrates seamlessly with Thoughtspot, a powerful data source, allowing for automatic tagging of frequently accessed assets. By leveraging this integration, users can save valuable time and ensure that their data literacy and enablement practices remain scalable and up-to-date. Secoda's functionality also includes prioritizing maintenance by identifying the most frequently used assets, streamlining the overall data management process.

How it works

Secoda offers integration with Thoughtspot, a data source for your most frequently used assets. Through this integration, Secoda enables automatic tagging, helping you save time and ensuring scalability and up-to-date practices in data literacy and enablement. The integration consists of Triggers and Actions. Triggers activate the workflow based on specific schedules, allowing you to create a structured framework for subsequent actions. Actions include various operations like filtering and updating metadata, which can be stacked to create customized workflows for your team's requirements. Using Secoda, you can easily perform bulk updates to metadata in Thoughtspot.

About Secoda

By integrating Thoughtspot and Secoda, organizations can enhance their data literacy and enablement practices. Thoughtspot offers powerful data analysis and visualization tools, while Secoda serves as a comprehensive data management platform. With this integration, users can leverage Secoda's consolidated data catalog, lineage, documentation, and monitoring capabilities, making data exploration and analysis more scalable and efficient. This combination creates a synergistic solution for organizations looking to maximize their data utilization and insights.

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