Product Update: New features and technical documentation for Decentriq’s data clean rooms

Following our previous update in August, we’re proud to share the latest features in our data clean rooms.

Decentriq users can now leverage improved data uploading capabilities, dataset metadata, and useful technical documentation. It is also easier to scroll through query results with multiple columns.

1. Improved data uploading capabilities

Many of our users wanted more flexibility in the data uploading process. We listened, and now uploading CSV files into Decentriq’s data clean rooms just got more powerful!

With our new dataset upload wizard, you can now adjust the parsing parameters and add context to the data, such as names and descriptions.

A local preview of the data to be uploaded helps you ensure that your data is formatted correctly before running your analysis.

2. Dataset metadata

Once your data has been uploaded, you can now see more information, such as the number of rows, file size, name and description of your uploaded dataset. We will soon launch additional summary statistics to give all data clean room participants an enhanced overview of the quality of their uploaded datasets.

3. Resources at your fingertips

Run into a problem in our data clean room? Now you have easy access to information about the Decentriq platform, software development kits (SDKs) and step-by-step tutorials in our technical documentation page at docs.decentriq.com.

While this centralized documentation will help you to find answers to most of your immediate queries more easily and quickly, we are still available to support you. Just reach out to us at support@decentriq.com.

We’re always looking for ways to improve our data clean rooms to make it even easier for you to unlock new value from sensitive data assets. We’re moving full steam ahead on the next version of the platform that will feature Python data clean rooms unlocking machine learning use-cases and so much more. We can’t wait to announce this by the end of this year.

If you’re interested to learn more about our data clean rooms, let us know  and we’ll be more than happy to walk you through.