Case Study: Deutsche Börse Group achieves faster data preparation and analytics with Alteryx Designer Cloud

Deutsche Börse Group Lays the Groundwork for its Data Science Lab

Deutsche Börse Group wanted to turn massive volumes of trading data into a new revenue opportunity by building a cloud-based data science center. However, business users needed data transformed before it moved to the cloud, and the company wanted to avoid overloading IT or forcing data scientists to spend most of their time on data cleansing. Alteryx Designer Cloud was used to help solve this challenge.

Alteryx implemented Designer Cloud to securely transform and migrate data from on-premises systems to the cloud with clear visibility and audit trails. The result was much faster data preparation, cutting one project from nine months to three weeks and reducing analytic build time by 92%. Alteryx also helped improve efficiency by letting business users prepare data themselves and allowing data scientists to focus on analytics and modeling.

Deutsche Börse Group

Konrad Sippel

Head of Big Data & Automation