Featured Success Story
“Our evergreen platform, built on dbt and Databricks, lets our teams around the world work from the same data sets. That translates to higher productivity and greater trust in our data as we work to become a global enterprise.”Nana Essuman, Senior Director of Data Engineering & Data Warehouse at Condé Nast
Filter success stories by industry
“Databricks Lakehouse Platform and dbt have eliminated the manual tasks and errors from our data transformations. We’ve been able to stand up new solutions for internal clients in half a day compared to 3-5 days previously.”
"We were able to get the search functionality of our talent matching service shipped ahead of schedule. Now we're moving onto automated matching and using the same approach."
“Blend is enterprise software handling data for large financial institutions—our data is a product. Without dbt, we wouldn't be able to live up to our agreements on providing customers visibility into their data"
"With Snowflake, dbt, and Metaplane, trust in data is a lot higher. As a result, our team is using data to drive the business forward."
“The business now feels very comfortable asking us quirky ad hoc questions, and because we have a model in place, it's easy for us to either build it or answer that query. Productivity is skyrocketing.”
"dbt allows us to set and track metrics-driven goals for almost everything we do. Every metric we track aligns to our core values, and is presented in that context to all business users."
"We think empowering analysts to own their tools is the only way to build a productive analytics team at scale. dbt makes it easier to do data modeling the right way, and harder to do it the wrong way."
"The new workflow with dbt and Snowflake isn't a small improvement. It's a complete redesign of our entire approach to data that will establish a new strategic foundation for analysts at JetBlue to build on."
"With dbt, we can empower users without technology team involvement, and the outcomes for the business are huge.
"Few folks on my team have deep knowledge of Python or software engineering, but dbt has made modeling accessible. Business analysts can now model data themselves.”
"This isn't anything new, it's how every high-quality software project is run. You expect there to be tests. You expect there to be documentation. You expect the PR process to be collaborative. You're building software together. We're just applying this to analytics code as well."
“We’re now able to do analysis that used to take weeks in days. It's a win for our productivity, and a win for our clients who hire us to optimize their sites.”
“What we do with Data Vault wouldn’t be possible without dbt. We don’t need to think about the underlying technical stuff and can instead focus on modeling our business concepts.”
"We want to build a world where any data scientist and analyst can have an idea on the way to work, and explore it end-to-end by midday."
“Before, 9 out 10 times the sales and executive team had to wait months to receive a data point they requested. By then, the data wasn’t relevant anymore or the new business was already lost.”
"I remember reading the dbt viewpoint and thinking this is fantastic—a simple way to focus on SQL as a way to manage data objects and at the same time solve our scheduling and dependency problems. dbt was an off-the-shelf solution that took our ideas to the next level. It was revelatory."
“Trust is so important because we are the experts in data analysis. And if you have a good level of trust, your insights are more likely to be robustly discussed.”
"All of our models are born and bred in dbt. When people think of clean data, they think of dbt models. There's very little that isn't powered by dbt at Ramp."
“With Databricks, Fivetran, and dbt, we can use data and AI in ways that help us reach the right customers with our clients’ marketing campaigns. That means we can deliver better results for their investment.”
"Engineers can see how the data they model in dbt becomes data that other teams are acting on. They can understand why we make certain requests. It makes a world of difference in their motivation and satisfaction."
“The data team knew there was a better way. We needed to invest in building the foundations to be able to operate at the right level.”
"We’ve grown incredibly in the last 2.5 years, and there’s no way that growth would have been possible without bringing in Snowflake, dbt, Metaplane, and the modern data stack"
“With data teams spanning several business functions, we didn't just need a way to standardize development. We needed a way for those processes to be easily understood by everyone—seasoned engineers, new analysts, the CFO... everyone.”
“dbt Cloud allowed our data platform team to strengthen our data infrastructure and our analysts to build scalable models on top—unlocking the velocity and insights we need to scale.”
"With Fivetran and dbt Cloud, more teams are able to get the pipelines they need. We have more efficient collaboration between teams that previously did not exist. Our teams are able to share insights that serve the customer the best healthcare experience possible."
"dbt and Hex make the data development environment so much easier to work with than any other combination of tools...I can instead focus on scaling my team, and building the best live shopping platform."
“dbt opens up the visibility and capabilities of our analysts so they can do more than just reporting. Because they need to do more. There’s no other way to be efficient enough.”
"We like to be Zip by name and Zip by nature. So we needed to update our old technology choices that were holding us back from moving as quickly as we wanted to."
