Case Study: Fortune 500 Manufacturing Company speeds up analytics and scales massive data with Cube Dev

Speeding Up Query Performance and Managing Massive Amounts of Data

Fortune 500 Manufacturing Company, a leader in bottled beverages with 50 plants and 4,000 employees, needed a better way to handle rapidly growing sensor data from its warehouse and production equipment. After its existing Power BI setup on Databricks struggled with rendering, latency, and rising storage and compute costs, the company looked for a more scalable embedded analytics approach. Cube Dev helped them evaluate options and support a custom Highcharts-based front end.

Cube Dev implemented a solution using Databricks for lakehouse storage and processing, Cube Cloud for semantic modeling, security, pre-aggregations, and APIs, and Highcharts for visualization. With Cube Dev’s multi-cluster deployment capabilities, the company could scale across plants without creating separate environments for each one, while dramatically improving query performance. The results included predictive maintenance alerts that helped avoid equipment downtime, more cost-effective condition-based maintenance, and savings such as preventing a potential $100k+ motor replacement by catching a small issue early.