How can I export data from Turn?

Manish Manohar Updated by Manish Manohar

There are several methods available for exporting data from Turn, and you can select the one that best suits your specific needs.

  1. Utilizing BigQuery Integration: The BigQuery integration automatically transfers data into BigQuery tables at 30-minute intervals. Explore further details on this integration here. To make use of this functionality, you'll require a BigQuery instance capable of receiving data. It's important to note that this data resides in third-party storage, and ownership lies with the administrator of the BigQuery account.
  2. Leveraging the Export API: Discover insights into the Export API here. With the Export API, you have the ability to apply data hashing to conceal specific information. This method is particularly suitable for scenarios where data privacy is of utmost importance, and personally identifiable information (PII) needs to be obscured within the dataset.
  3. Employing Webhooks within Your Journey: Webhooks come into play when you want precise control over the information being sent for reporting. This approach is particularly valuable in cases where Journey is in operation. For example, if you only intend to export specific data related to a conversation flow and wish to avoid revealing any extraneous details to a URL endpoint, webhooks provide the solution. For comprehensive insights into Journeys and their integrations, refer to the resources available here.
  4. Direct Data Export from Journey: It's possible to export data directly from your automation stack using the export button. Keep in mind that you can exclusively export data for which you have utilized the write_result function. Learn more about it here

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