We're excited to introduce an improvement to how you manage your dataset. Until now, any modifications such as renaming headers or removing columns caused frustrating user blockages, often requiring FP&A assistance. With this enhancement, we're putting the power back in your hands, enabling you to navigate these changes independently and efficiently. 

How Does It Work?

1. Column Removal: 
   Upon syncing your dataset, if a column has been deleted from the source, you'll receive a prompt notifying you of the missing column. You'll then have the option to seamlessly remove it from your data structure.
2. Column Renaming: 
   

   If you rename a column, you'll observe both a new column and a missing column in your dataset. To address this, simply define the type of the new column and replace the missing column with the new one, eliminating the need for model adjustments.

   
   

   
   Note: This feature is partially rolled out. If you don't see it yet, contact your implementation team or customer success manager. Learn more in the Academy.