Case Study: Q Burger achieves faster decision-making and higher turnover with Looker

Providing premium dining experiences in smart restaurants with data analytics and AI

Q Burger, a premium dining restaurant chain, wanted faster, more connected business intelligence to improve turnover, expansion decisions, and service optimization. Before, its on-prem databases made it difficult to unify data from multiple sources, so owners and managers received reports too late to act quickly. The company used Looker Studio alongside Google Cloud tools such as BigQuery, Cloud Data Fusion, Cloud Run functions, and Cloud SQL to centralize analytics.

With the new data pipeline, Looker helped Q Burger visualize BigQuery insights for executives and regional managers, while automated alerts made it easier to spot underperforming restaurants in real time. The result was more timely decision-making, daily profit estimates with only a minor error rate, and faster managerial intervention; Q Burger also reported that turnover increased after launching the platform with Looker and BigQuery at its core.

Q Burger

Zoe Hsu

IT Vice General Manager