Research Project Launches to Boost Companies’ Data Visualization Capabilities

Researchers will work to develop predictive algorithms that can help identify and correct data visualization errors in real time.

Written by Rose Velazquez
Published on Apr. 30, 2025
Researchers Théophile Demazure, Patrick Charland, Olivier Caya and Pierre-Majorique Léger pose for a photo.
Photo: HEC Montréal

A nearly $2 million research project aimed at applying artificial intelligence to reduce data visualization errors is launching with the goal of supporting Canadian companies.

The three-year initiative is a partnership among French-language university HEC Montréal, SAP Canada, Université du Québec à Montréal and Université de Sherbrooke, according to a news release. Led by Pierre-Majorique Léger of the Department of Information Technologies at HEC Montréal, the project falls under the Alliance program of the Natural Sciences and Engineering Research Council of Canada.

Léger is the director of HEC Montréal’s ERPsim Lab, which worked with SAP Canada to develop Business Builders, a gamified experience that helps users develop advanced data visualization skills through the SAP Analytics Cloud. Researchers plan to use data generated through Business Builders to analyze user behaviors, identify common errors and create predictive algorithms that can detect and correct those mistakes in real time.

The work is expected to help companies cut down on costly errors and improve their data-driven decision making. It will also support development of enhanced strategies for teaching about data visualization and interpretation.

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