HEAVY.AI
6 Case Studies
A HEAVY.AI Case Study
Entel, a large South American telecom provider, was struggling to access, analyze, and visualize massive network datasets quickly enough with legacy tools. The delay made it harder to spot performance issues in real time, increasing the risk of customer churn. To address this, Entel turned to HEAVY.AI for advanced analytics and visualization.
Using HEAVY.AI’s GPU-accelerated analytics dashboards, Entel was able to analyze about 200 million records per month from network and mobile data and detect performance issues much faster. The solution helped the company identify problems before customers were significantly impacted, support proactive antenna upgrade and maintenance planning, improve competitive comparisons, and reduce customer churn.