
When this happens...

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Trigger Dataset Refresh
Delete a Dataset
When this happensTriggers
A trigger is an event that starts a workflow.
Triggered when a new dataset is created in Power BI.
Action is the task that follows automatically within your ChartMogul integrations.
Creates a contact object in ChartMogul under a specified customer within the selected data_source.
Creates a customer object in ChartMogul under the specified data_source.
Searches for a customer by email
Searches for a customer profile via customer's external id
Retrieves the specified metrics for the specified time
Retrieves a customer profile using customer UUID
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To start, connect both your ChartMogul and Microsoft Power BI accounts to viaSocket. Once connected, you can set up a workflow where an event in ChartMogul triggers actions in Microsoft Power BI (or vice versa).
Absolutely. You can customize how ChartMogul data is recorded in Microsoft Power BI. This includes choosing which data fields go into which fields of Microsoft Power BI, setting up custom formats, and filtering out unwanted information.
The data sync between ChartMogul and Microsoft Power BI 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 ChartMogul and Microsoft Power BI. 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.
ChartMogul is a subscription analytics platform that helps businesses measure, understand, and grow their subscription revenue. It provides actionable insights and metrics to optimize your subscription business.
Learn MoreMicrosoft Power BI is a powerful business analytics tool that enables users to visualize and share insights from their data. It provides interactive dashboards and reports, allowing organizations to make data-driven decisions efficiently.
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