Identify assets for cleanup in Stitch 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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Stitch is a tool used for data integration. One important aspect of data cleanup is to tag data from Stitch that has not been accessed for a certain period as 'for review' in order to identify and address any issues or inconsistencies. This helps ensure that datasets are accurate, reliable, and consistent, enabling valid and informed analyses and decisions to be made based on this data. By prioritizing data cleanup, overall data quality can be improved, enhancing the effectiveness and reliability of data-driven processes and outcomes.
With the integration of Secoda and Stitch, you can automate the process of tagging data that has not been accessed within a specified period as 'for review'. This allows for easier identification and cleanup of data that may no longer be relevant or necessary. By combining the Triggers and Actions features of Secoda's automation capabilities, you can create a structured framework to activate the workflow and perform bulk updates to metadata in Stitch. This eliminates the need for manual intervention and enables a streamlined data management process tailored to your team's specific needs.
Secoda's integration with Stitch provides data teams with an efficient solution to enhance their data cleanup practices. By seamlessly combining the capabilities of Stitch with Secoda's data management platform, teams can easily prioritize their assets. Secoda acts as a comprehensive index for your company's data knowledge, consolidating your data catalog, lineage, documentation, and monitoring. This integration allows for streamlined data management and scalability, empowering data teams to optimize their workflows.
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