Ensure Data Accuracy with Boost.space’s AI Data Validation

Note: This article is only for Boost.space 4.0 users. Please note that until public launch this is only relevant for early access users.

Note: To access this feature, you’ll need AI Credits.

We are excited to introduce a new AI function: Data Validation. This feature has been designed to help you validate your data effectively within the Boost.space system. In this article, we will guide you on how to use this tool.

What is Data Validation?

Data Validation is a process that ensures the data entered into the system meets specific criteria, thus maintaining data quality. By implementing this feature, you can check for accuracy, consistency, and completeness, reducing the likelihood of errors in your applications.

How to Use Data Validation

Using the Data Validation feature is straightforward. Here’s a step-by-step guide to help you get started:

  1. Open the Space where you would like to use Data Validation. Next, select the column in which you want to apply it and click on the three dots. A menu will expand; from there, select Data Validation.

  2. Let’s define how your Data Validation will be carried out. You can either choose from our pre-made templates or create your own custom validation. For example, you might enter a command like, “Filter all names that contain an “A”. Once you’ve made your selection, simply click “Save and Run”.
  3. Your template for Data Validation has been saved. Now, it’s time to activate it. You can also select the option “Sort by Data Validation” so that the data matching the validation criteria will appear first in the table.
  4. Now, you can see the results. Your data have been validated. Congratulation!

 

If you encounter any issues along the way, please let us know at [email protected].