AA - Advanced Analytics

Driven by new technology and organizational changes, Proximus asked element61 to help define how to set-up a more data-driven marketing process.

In order to plan ressources more effectively and efficiently, AZ Alma wanted to look in Machine Learning to predict and estimate the demand for IPT.

After 10 years of using a specific AI set-up and technology, Proximus asked element61 to review and help to select a new AI workbench.

Mazda asked element61 to help assess the feasibility and set-up of a propensity model to predict renewal for existing customers.

This project supported Proximus in building its 10-year target architecture exercise and define & launch a set of improvement projects on AdTech and MarTech technology including an AI Workbench and a Customer Data Platform.

In a push to reduce the number of folders sent and to determine the target audiences efficiently, element61 ran a project to induce and leverage machine learning: more specifically, a clustering algorithm to continuously help us divide customers into different target groups.

EDF Luminus wanted to take a more data-driven approach in digital marketing and advertising. The element61 team helped them through first a data-driven roadmap aimed at identifying the pain points and opportunities of data & secondly to deliver these opportunities through targeted Proof of Values.