Case Study: Mappy achieves faster, self-service user-behavior insights with Tableau Software

Mappy understands user behavior with Tableau & Hadoop

Mappy, a digital cartography publisher serving about 10 million unique users a month and managing 4 million points of interest (POIs), struggled with an aging BI workflow that could not keep up with growth. Daily logs from 120 servers produced roughly 150 GB of data, and the team relied on a slow, nightly Python-to-SQL Server process and Excel-based reports that took hours or days to update, limiting analysts’ ability to answer routine product and usage questions.

Mappy rebuilt its stack on Hadoop with Spark SQL for processing and adopted Tableau (with implementation help from Actinvision) for visualization. Tableau was fast to deploy and easy to learn—about ten users across technical and business teams became independent within days—leading to major time savings, faster, clearer dashboards, and more self-service analysis. As a result, analysts can explore data in real time, generate new visualizations and insights, and better understand user behavior across Mappy’s services.

Mappy

Nicolas Korchia

Business Manager