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

“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.”

“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.”

"Secoda helps us understand data adoption and how we can raise data literacy in the 7shifts team. These tools and insights enable growth for the team and our stakeholders without the bottlenecks we used to have."

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

“We’ve started using the Data Quality Score as part of our checklist before releasing something into production, It helps us see what’s missing and identify which monitors we need to put in place.”

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

“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."

“We have very complex data, ranging from the data we capture with our own product, to Shopify data, to other sources like our CRM, so we’re pretty prone to knowledge silos, and have subject matter experts in certain areas, Our biggest win with Secoda has been having a place for …

"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.”

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

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