Automations

Identify assets for cleanup in Tableau

⚡️ Automation

Identify assets for cleanup in Tableau 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

Identify assets for cleanup in Tableau

⚡️ Automation

Identify assets for cleanup in Tableau 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

In the context of data cleanup, integration with Tableau can assist in the process of identifying data that has not been accessed within a specific timeframe. By tagging this data as "for review," it becomes easier to prioritize and address any necessary cleanup tasks. Ensuring data accuracy, reliability, and consistency is crucial for valid analyses and informed decision-making, contributing to improved data quality overall. Tableau integration supports these goals by facilitating efficient data management and maintenance.

How it works

In Secoda, you can automate tasks using integration with Tableau. An automation consists of Triggers and Actions. Triggers determine when the workflow will be activated, allowing you to set schedules based on your requirements. Actions encompass a range of operations, such as metadata updates and filtering. By stacking actions, you can create customized workflows to meet the specific needs of your team. One useful task you can perform is bulk updating metadata in Tableau. For example, you can tag data from Tableau that has not been accessed within a specific period as "for review," indicating that it requires cleanup.

About Secoda

Secoda integration with Tableau is a powerful tool for data teams aiming to streamline their data cleanup practices. By combining the capabilities of Secoda's data management platform with Tableau, data teams can efficiently prioritize their assets. Secoda serves as a comprehensive index of your company's data knowledge, consolidating data catalog, lineage, documentation, and monitoring into a single platform. This integration empowers data teams to scale their efforts and optimize their data cleanup processes effortlessly.

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