Connect Upkeep and Data Studio to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Upkeep
Choose an Action
Automatically do this!
- Request a new Action for Data Studio
Enable Integrations or automations with these events of Upkeep and Data Studio
Enable Integrations or automations with these events of Upkeep and Data Studio
Actions
Get All Users
Get details of all existing users
List Users
List all users for your account.
List Locations
List All Locations
List Parts
List All Parts
List Assets
List All Assets.
List Custom Fields
List all custom fields.
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Frequently Asked Questions
To start, connect both your Upkeep and Data Studio accounts to viaSocket. Once connected, you can set up a workflow where an event in Upkeep triggers actions in Data Studio (or vice versa).
Absolutely. You can customize how Upkeep data is recorded in Data Studio. This includes choosing which data fields go into which fields of Data Studio, setting up custom formats, and filtering out unwanted information.
The data sync between Upkeep and Data Studio typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Upkeep and Data Studio. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Upkeep
Upkeep is a leading maintenance management software designed to streamline work orders, manage assets, and improve overall operational efficiency. Ideal for facilities, property, and asset management, Upkeep helps teams stay organized and productive.
Learn MoreAbout Data Studio
Data Studio is a powerful tool by Google that allows users to transform raw data into informative, easy-to-read, and shareable dashboards and reports. It is designed to help businesses and individuals visualize their data in a way that is both meaningful and actionable.
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