Why AI Summary for Data Reviews In our previous blog, we talked about why data teams need need AI Su...
Ad-hoc Checks, Siloed Knowledge "I reviewed three PRs in one day. Each touched the core metrics but ...
In our previous article, we eliminated the biggest adoption barrier. Now anyone can sign up and laun...
In our previous article, we discovered that data teams loved Recce's concept but struggled with adop...
The Painful Realization "This is exactly what we need," said the data analyst, her eyes lighting up ...
In our first article, we wrote about how built column-level Impact Radius to answer our users' quest...
Continuing from our last blog post about building Impact Radius, we realized we could build an even ...
The problem of data validation When you make changes in a data project, you’re rarely worried about ...
Many teams come to Recce after evaluating Datafold. Some tried it in production, others ran a PoC (P...
Data diffing is a tool, not the goal Five years ago not many people had heard of data diffs. Now whe...
TL;DR: If stakeholders can’t trust the numbers, why would they trust the people behind them? While i...