“Each of our departments has its own unique needs, but that was generating some issues where different departments were reporting different data sets as if they were the same.”

“The data quality score is really handy because it offers a quantifiable, discrete metric of how well things are documented.”

"Having things documented on an ongoing basis has reduced the volume of requests the data team receives by over 50%."

"Secoda AI lets me reduce the time my team spends on documentation by 90%."

“Before Secoda, we found that answers would get lost in the firehose of all the information we have and we would have to answer the same question multiple times.”

"Secoda was the one tool that provided lineage with Data Studio and had cool AI features, so we saw it as the best choice."

"AI is foundational to Dialpad’s product, and I wanted the same AI-first approach internally. But to do that, you need a lineage layer, a documentation layer, and strong governance. Secoda gives us all the building blocks to do that in one tool.”

“Now we’re actually at a point where we can look up the definition of different things and figure out much faster where specific elements are defined in our systems.”

"We use Secoda to provide documentation behind the logic, calculations, and papertrail behind the dashboards they use so they can trust it.”

“Our goal as a data team is to democratize data for the rest of the PartnerStack team, and Secoda helps us do that.”

“With Secoda, we've been able to make sure we're all speaking the same language about data. Which is hard to do once you're a team of over 500 people across many countries."

"Secoda has made it way easier to understand what data we have and how to best make use of it. It's a game-changer!"

“The automated lineage that Secoda provides is the most important piece because we now have one consolidated place where we can see dependencies and communicate them to the potentially impacted parties.”

"With Secoda, we can see all of our metadata in one place and build a single source of truth to enable self-serve analytics. These are huge time savings.”

“The initial goal was to help the team be more productive overall. We didn’t have a formal, centralized way to understand what data we could use, and what data assets we had."