Introduced Data Patch for Historical Corrections and Gap Filling

Overview

We’ve introduced a new Data Patch capability that gives customers more control over the completeness and accuracy of their data.

What’s new

Data Patch enables users to manually request updates to historical data, including filling gaps, correcting inaccuracies, or backfilling missing time periods directly from the source.

Previously, resolving these issues often required support intervention or re-syncing large datasets. This feature streamlines that process into a self-serve workflow.

Why this matters

Data inconsistencies—such as missing days, partial backfills, or incorrect values—can impact model performance and reporting accuracy. Data Patch puts control directly in the hands of customers to resolve these issues quickly and precisely.

How it works

• Click the "data patch" icon

  

• Follow the instructions to create the data patch document:

  

• Use the same interface across supported integrations

Impact

Customers can maintain higher data quality with less friction, reducing downtime and dependency on support while improving overall confidence in their data.