Data Diff value calculator
This is a simple model for estimating economic impact of adopting the Data Diff tool at your organization.
How many data developers (Data Engineers, Analysts etc.) does your organization have?
What is the average annual salary for a data developer in your organization?
$Labor overhead coefficient (source)
How many code changes (pull requests) does a data developer deploy on average per week?
How much time does a data developer spend to test an average change?
What percentage of manual testing can be automated with Data Diff?
*Typical for Datafold Users
Annual Savings
Hours SAVED
832
166 /per developer
Costs SAVED ($)
$129,600
$25,920 /per developer