Automations

Identify orphaned data in Google Data Studio

⚡️ Automation

Identify orphaned data in Google Data Studio 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 started
Automations

Identify orphaned data in Google Data Studio

⚡️ Automation

Identify orphaned data in Google Data Studio with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.

Find the following resources:
Integration
is
Google Data Studio
And automatically do this:
Add action

Overview

One important aspect of data cleanup practices is identifying orphaned data. Orphaned data refers to data in Google Data Studio that no longer has an assigned team or user. This data needs to be tagged for review. By doing this, it helps prevent data integrity issues, optimize storage use, enhance system performance, and ensure accurate data analysis and reporting processes.

How it works

In order to identify data in Google Data Studio that does not have an assigned team or user, Secoda offers automated workflows through its integration with Google Data Studio. These workflows consist of two parts: Triggers and Actions. Triggers determine when the workflow is activated, allowing you to set schedules such as hourly, daily, or custom intervals. Actions, on the other hand, include various operations like filtering and updating metadata. By stacking actions, you can create detailed workflows tailored to your team's specific requirements. Secoda enables you to efficiently perform bulk updates to metadata in Google Data Studio, helping you tag unassigned data for review.

About Secoda

Secoda offers a comprehensive data management platform, serving as a hub for your company's data knowledge. It brings together various components such as data catalog, lineage, documentation, and monitoring into one centralized location. By integrating Secoda with Google Data Studio, data teams can effectively enhance their data enablement practices and streamline their trust scorecard maintenance. This integration enables easier scalability of data processes, allowing data teams to efficiently manage and maintain their trust scorecards.

Related automations

Explore all