Case Study: Orange achieves a scalable Everyday AI practice and rapid ML deployment with Dataiku

Building a Sustainable Data Practice

Orange, one of the largest mobile and internet operators in Europe and Africa, faced a legacy-tooling problem that limited data work to a few specialists and hindered hiring and scale. The client services data team needed a platform that would support machine learning (not just BI), let new data scientists use modern tools, and empower analysts to run their own analyses—so they adopted the Dataiku platform to build a more sustainable, everyday AI practice.

Using Dataiku, Orange shifted smaller BI work to the business and scaled machine learning across use cases: a call-load detection and triage model was developed in under a month, clustering models helped prevent unwanted charges, and KPI dashboards that once took a month now take a week or less. The platform enabled over 100 analysts to work with data, grew the data organization from 6 to more than 25 people, and increased project requests from about one per year to several per month—demonstrating clear productivity and business impact from Dataiku.

Orange

Mohamed Benguerah

Department Head, Tools and Innovation