24 Secoda Testimonials

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

  • "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.”

  • "I'm gonna brag for a second because I think this is the best project I've done in my career, We did it, we launched it on time, we had no downtime. This was a huge improvement, and a big win for our stakeholders. The ins and outs of this migration …

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

  • “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.”

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

  • “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%."

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

  • "We decided to decentralize our data operations... and we did not have any data governance at all. In a decentralized setting, data governance is key. You have to have policies, but also the tools and means to set them up and enforce them so that people can handle data securely …

  • “Our biggest principle for the data team while managing our proprietary data is to maintain the trust of our customers. We hold ourselves and the data and analytics team to an extremely high bar."

  • “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.”

  • “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.”