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

“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 …

“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.”

"Secoda works really well with our evolving data stack. It gives our data science and data engineering teams the ability to work on building a common company knowledge instead of storing everything in our heads."

"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.”

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

“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.”

"We’ve built a gamification system where users get points for asking and answering questions in Secoda. For example, we award additional points if an answer is selected as the correct one, and we use the Secoda APIs to calculate and display these on a leaderboard."

“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."

“It gives autonomy to other teams. It’s not only our [data] team that can actually build automations. It helped a lot to bulk edit or make sure some repetitive actions were done at scale.”