Data Lake / Data Warehouse Modernization · Real-time Analytics · Sales Automation
In recent years, the company has been undergoing a digital transformation, modernizing its structure and operations – with the goal of doing more with less. In this process, Gol began to review and reorganize its data solutions to meet new demands.
Reported impact
This change takes a disruptive approach and enables a number of competitive advantages. One of the recently developed projects is the customization of its offers, and the email opening rate and clicks on recommendations are twice as high as the opening rate without recommendations,” he says.
GOL Linhas Aéreas built this solution on Azure Data Factory, Azure Databricks, Azure Logic Apps, Power BI. In recent years, the company has been undergoing a digital transformation, modernizing its structure and operations – with the goal of doing more with less. In this process, Gol began to review and reorganize its data solutions to meet new demands. Azure Data Factory moves and orchestrates data from source systems into the analytics platform. Azure Databricks processes, transforms, and engineers large data sets for analytics and machine learning. Azure Logic Apps automates cross-system workflows and security or business process integrations. Power BI publishes dashboards and self-service analytics to business users. The airline’s Data & Analytics team has built an environment that orchestrates the collection of data from multiple sources into a single, Azure-based data lake.
Operational data is ingested through Azure Data Factory from line-of-business systems, engineered and transformed in Azure Databricks before Power BI dashboards surface insights to business users.
Founded in 2001, Gol Linhas Aéreas is the largest Brazilian airline by number of passengers, with a 36% market share.
In recent years, the company has been undergoing a digital transformation, modernizing its structure and operations – with the goal of doing more with less.
The platform is supported by Azure, where the data lake resides in blob storage. Azure Databricks extracts this data, and Azure Data Factory orchestrates it all.
This change takes a disruptive approach and enables a number of competitive advantages.
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