“Our previous digital analytics tool was very limited for us. We couldn’t fetch the data easily, we couldn’t send custom identifiers and there were GDPR concerns. Most importantly, we couldn’t integrate it with our other data sources to get a full picture of player behavior, from marketing websites to in-game …

"By eliminating a lot of the guesswork from the model development process, Databricks gives our customers a better experience which drives higher retention and more revenue.”

“With Databricks Lakehouse we’re able to help our retail partners leverage new data-driven insights for finer customer segmentation and targeting, helping us transform their loyalty programs.”

“With MLflow, we have been able to build an ML workflow with ease, saving us 180 hours of MLOps overhead. This means we are able to get new models to production faster, which has improved our ability to target and retain old customers from 1%–5% to 200%–400%.”

“Databricks has simplified operations, making it much easier for our data teams to securely access our data and collaborate on various analytics and ML use cases. That’s the main reason why it has rated higher in satisfaction than any other data analytics tool currently deployed at Asana.”

"Doing different types of analyses was challenging because our Jupyter Notebooks weren’t collaborative and would often crash. That wasted a lot of time and effort.”

“Advisors can easily see what happens within their portfolio and are in contact with the clients exactly when they need it the most. Thanks to the solution using Databricks, we are now even closer to our customers and can promptly react to their needs and life situations.”

“We use Databricks Workflows as our default orchestration tool to perform ETL and enable automation for about 300 jobs, of which approximately 120 are scheduled to run regularly.”

“Our team’s mission is to help CRED make better, faster business decisions aided by data and analytics. Our association with Databricks enables us to achieve this.”

“Unity Catalog enables us to manage all users across multiple workspaces in one central place, so it makes user management significantly easier also, the data lineage feature is out of the box, which helps us identify the downstream dependencies without any manual overheads. In the case of BI data, we …

“With Redshift, we had to do hack-arounds to make that happen. It was very inefficient, With Databricks, we have all types of data in one place, allowing us to respond to requests much faster, which improves the experience.”

“With Databricks solution, the team can effectively understand the vast amount of data and prepare personalized segments for online ads targeting that shows great increase in performance compared to the previous solution.”

“When it came to our LLM journey, working with Databricks felt like we were one big team and didn’t feel like they were just a vendor and we were a customer."

“With lakehouse AI, we could host open source generative AI models in our own environment, with full control. Additionally, Databricks Model Serving automated deployment and inferencing these LLMs, removing any need to deal with complicated infrastructure. Our teams could just focus on building the solution - in fact, it took …

“In the retail industry, delivering an instantly gratifying experience is key to winning share of wallet. With Databricks Platform powering our data and AI initiatives, we’ve reduced analysis times by 96% while lowering operational costs by 93%.”