Case Studies
Learn how dbt fuels sensemaking for organizations of all sizes.
Featured Case Study
“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
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“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.”
Brandon Smith, Director of Data and Analytics
“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"
DC Chohan, Senior Data Engineering Manager
"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."
James Sharwin, Head of Data
“Before dbt Cloud, we were happy if we could restore something the same day it broke. Now, we can preview results before merging, and my team no longer needs to switch between Snowflake and VS Code. The time saving there alone is just amazing.”
Josh Carlson, Director of Analytics
“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.”
Huss Afzal, Data Director
“dbt Cloud allows us to focus on building versus focusing on maintenance. I’d rather have my team building data pipelines and developing new models than being absorbed by infrastructure.”
James Mission, Head of Analytics
“I can't imagine how we would have been able to scale so easily or double in size without dbt Cloud and Secoda. Looking back, I feel great that we went with this set of tooling.”
Amit Jain, Data Team Technical Director
“We can develop much faster than we could before, and our stakeholders are confident that the numbers they’re working with are correct. Those two factors really resonate together.”
Jack Ploshnick, Analytics Manager
"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."
James Densmore, Director of Data Infrastructure
“One thing I used to hear a lot was 'can I trust this data?' Now everyone knows: if it's there in the warehouse, you can trust it because it's been tested and centralized.”
Gabriel Marinho, Lead Analytics Engineer
"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."
Benjamin Singleton, Director of Data Science & Analytics
“We now catch issues proactively— the relevant teams outside of the data team are responsible for fixing breaking changes caused by data from systems they own. This frees up the data team and reduces the time to resolution.”
Rupert Arup, Data Team Lead
“This is the first time we're collecting data from all these sources and uniting them to get a holistic view. Our data stack has enabled us to launch seven omnichannel campaigns so far, with more revenue-impacting campaigns to come.”
William Møller, Data Engineer
“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.”
Theo Visan, Senior Analytics Engineer
“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.”
\-Cristian Ivanoff, Data Engineer
“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.”
Michael Weiss, Senior Product Manager
“Even though we had a smaller team than all of our past integration projects, we were able to deliver the integration in just six weeks. That’s exactly half of the time that projects with similar scope took previously.”
Andrew Waters, Director of Platform Engineering
"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."
Ryan Goltz, Principal Data Architect
“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.”
Sam Ellett, Lead Data Scientist
“Instead of relying on product engineering to manually communicate changes, we leveraged dbt Cloud to automatically prompt us before code goes to production. We’re very proud of this system because it protects the integrity of our downstream data products like advanced analytics and machine learning recommendation engines.”
Raúl Aviles Poblador, Head of Data Engineering
"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."
Kevin Chao, Senior Analytics Engineer
“Before, we couldn’t kick off any machine learning projects because incidents would happen. We had little visibility on our data lineage and code on Matillion, so we never really knew if the data was correct or complete. Now we’re working on an ML fraud prevention use case which will have a direct impact on our profit margins.”
Chandan Singh, Head of Data
“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.”
Brandon Beidel, Director of Product Management
"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."
Daniel Wolchonok, Head of Data
“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.”
Agnieszka Hatton, VP of Data & Analytics
“With dbt Cloud, you can give analysts autonomy, while maintaining data governance. Our analysts have taken to it like ducks to water."
Robin Patel, Head of Data & Analytics Engineering
"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"
Ben Cohen, Data Engineering Lead
“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.”
Jared Stout, Head of Data Management
“Growing from five to 300 people meant we needed more consistent data, version control, testing, discoverability—all the features that we could get with dbt Cloud and Stemma”
\- Eric Ganbat, Senior Data Engineer, Tempo
“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.”
Kumar Aman, Team Lead Data Engineer
"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."
Trenton Huey, Senior Director of Data
“dbt is a critical part of our infrastructure, and Metaplane allows us to ensure that it is running smoothly around the clock."
Max Calehuff, Data Engineer
“All of the improvements driven by dbt Cloud are starting to add up, and the quality of our data has exponentially grown. We can put testing in place and enforce rules to ensure that data going to users is correct without having to spend time manually checking it.”
Diego Morales, Analytics & Insights Practice Lead
“I’ve been working in the data space for over ten years, and Snowflake, dbt Cloud, and Hightouch have solved 95% of the problems that I’ve run into. Together, these tools power everything we do at Wellthy.”
Kelly Nelson Pook, Sr. Analytics Engineer
"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."
\-Emmanuel Fuentes, Head of Machine Learning & Data Platforms
“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.”
\-Luis Noguera, Head of Analytics
"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."
Moss Pauly, Sr. Product Manager
