Thumbtack leverages Datafold to save hundreds of hours and improve data quality peace of mind
Pioneers in the home services gig economy
Data team size
Google Big Query
You can see right off the bat whether your data quality is what you were expecting, and reviewers can see it, too. Now we’re at the rate where we’re automating code reviews, or close to it, on 100 pull requests per month. And this is just the start.
Director, Product Analytics at Thumbtack
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Whenever a data outage happened, the entire data team had to drop everything to find and fix the broken data, which compounded their existing workloads.
- Improved data quality. Column-level lineage makes it easy for analysts and engineers to see when their changes could impact other people’s data and give advanced notice or warning. Data Diff ensures that all changes are thoroughly tested and easy to review, preventing breaking issues and ensuring data is always of the highest quality.
- 200+ hours saved per month. By automating the testing and review process with Datafold, the team is saving multiple hours per PR. According to a Thumbtack analyst, "When everything is correct, Datafold clearly saves time on testing; but when something is wrong or there’s an error, it saves unimaginable amounts of time that would go into finding and fixing bad data."
- Peace of mind. Whether the data team is merging to production or doing a review on a colleague’s PR, Datafold does the hard work of validation. Simply seeing the diff report from Datafold on GitHub gives Thumbtack’s data analysts, engineers, and team leaders greater confidence in their data quality.
- Increased productivity by 20+%. Datafold saves time and reduces anxiety or frustration by reducing or eliminating manual testing and tracking processes. Now, the data team and leaders can instead focus on creative data work – helping the product and company scale and evolve.
When everything is correct, Datafold clearly saves time on testing; but when something is wrong or there’s an error, it saves unimaginable amounts of time that would go into finding and fixing bad data.
Product Analyst at Thumbtack