Case Study: AramisAuto achieves in-house real-time advanced analytics with Dataiku DSS

How AramisAuto Uses Dataiku for In-House Data Product Deployment and Team Scalability

AramisAuto, a leader in France’s new and second-hand automotive market with 350 employees and €356M in turnover, needed to internalize the design, development, and deployment of data-driven solutions rather than outsource them due to data sensitivity. The company hired business intelligence engineers and data scientists but required a platform to help those teams rapidly build scalable predictive models and deliver real-time data products — so they turned to Dataiku’s Data Science Studio (DSS).

Using Dataiku DSS’s whitebox, team-based and visual interface, AramisAuto enabled collaborative prototyping, testing, iteration, and deployment of data products (including a real-time API). With Dataiku, projects that once required external support are now built fully in-house: they deployed a high-ROI advanced analytics project from scratch in under three months, comprehensively trained their data scientists and BI engineers, scaled analytics across many use cases, and grew team proficiency and capabilities.

AramisAuto

Christophe Vassallo

CTO