“Everything we do is data-driven to deliver our clients the insights they need to make informed decisions on how to best achieve the results they are seeking with their demand campaigns.”

"Alteryx’s solution enables us to alleviate bottlenecks in our cloud data pipelines."

"One of the people in our team who doesn't have a data science background built a model with Alteryx Machine Learning to automatically classify the tax status of products."

"Transforming analytics, data science and process automation with an integrated platform allows us to accelerate outcomes and adapt to ever-changing conditions."

“COVID severely impacted the integrity of the data we had to work with, so we had get creative and use extended historical data, build complex models and test and evaluate the results to accurately forecast revenue."

“We run into all sorts of different ways clients want to see data, and having Alteryx and Snowflake allows us to be flexible and creative on what we deliver at the end of the day."

“That original BI tool that was used to aggregate all of the data, create all the metrics, and push all the essential reports out to everybody was a big ole black box. All the features and capabilities that were used to build the original system were locked behind a very …

“We can update daily—it’s allowed us to reduce that time-to-insight as far as making changes. Because as you know, the product hierarchy needs to be updated daily. We have new items coming in and new changes to items, and, through this process, we can allow this to happen in a …

“Using Designer Cloud makes your developers a lot more valuable and powerful because they’re able to operate within this community of other people.”

“In total, the overall turnaround time has been reduced by 92 percent for every new clinical studies data our team receives. Additionally, we’ve seen an increase in prediction accuracy by four times its original rate. This has not only helped the company achieve its mission of finding the right patient …

“Our automation engine is driven by data. We needed a platform that was capable of connecting to our large volume of data, with real-time or near real-time wrangling and, most of all, that has a simple UI that our existing knowledge workers who have the domain knowledge could be trained …

“With Dataprep, you don’t need to have a large team. In the past, you needed to have a lot of developers or Excel experts. Now they’re no longer required, which translates into payroll savings for the company. There’s also a huge amount of flexibility—if something breaks, it’s a lot easier …

“The data we leverage is extremely varied and undergoes thousands of updates every second, which makes Designer Cloud a critical tool for our data scientists. Designer Cloud accelerates the process of preparing data and allows our data scientists to focus on the analytics that improve the marketplace at Deutsche Börse.”

“At ABN AMRO, we’re focused on democratizing data to accelerate automated decision making. This requires an intuitive approach that allows business users and technical users to collaborate in building high-quality data products. The combination of Designer Cloud and Databricks enables this.”

“One of the biggest challenges with public health data systems is finding the right tools to invest in that can meet us where we are – in both skills and infrastructure – and help us transition to new methods and flexible and scalable environments. Experienced epidemiologists have survived countless attempts …