IntegrationsTrack-PODDatawrapper
Track-POD + Datawrapper

Connect Track-POD and Datawrapper to Build Intelligent Automations

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Track-POD

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Datawrapper

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Frequently Asked Questions

How do I start an integration between Track-POD and Datawrapper?

To start, connect both your Track-POD and Datawrapper accounts to viaSocket. Once connected, you can set up a workflow where an event in Track-POD triggers actions in Datawrapper (or vice versa).

Can we customize how data from Track-POD is recorded in Datawrapper?

Absolutely. You can customize how Track-POD data is recorded in Datawrapper. This includes choosing which data fields go into which fields of Datawrapper, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Track-POD and Datawrapper?

The data sync between Track-POD and Datawrapper typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Track-POD to Datawrapper?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Track-POD and Datawrapper?

Yes, you can set conditional logic to control the flow of data between Track-POD and Datawrapper. 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.

Track-POD

About Track-POD

Track-POD is a delivery management software that helps businesses streamline their delivery operations, track shipments in real-time, and ensure proof of delivery. It offers features like route optimization, electronic signatures, and real-time tracking to enhance delivery efficiency and customer satisfaction.

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Datawrapper

About Datawrapper

Datawrapper is a powerful tool for creating charts, maps, and tables from your data, making it easy to visualize and share insights. It is designed to help users transform raw data into clear, engaging visualizations that can be embedded in websites or shared across platforms.

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