Case Study: Hornblower optimizes data pipelines and cuts engineering costs with Hevo Data

Hornblower invests more in growth by optimizing the data pipelines using Hevo Data

Hornblower, a global leader in travel experiences, faced significant data challenges due to the massive volume of information generated across its many brands. Their existing method of moving all data to a warehouse using AWS Glue was costly and inefficient, as much of the data transferred was unnecessary. They needed a way to strategically move only essential data without investing in a large engineering team to build and manage the complex pipelines.

The company implemented Hevo Data’s platform to automate its data pipelines. With Hevo, Hornblower could effortlessly select and move only the required data from sources like Google Analytics and Salesforce, eliminating unnecessary data transfer and the associated costs. This solution delivered substantial results: Hornblower saved the cost of hiring 2-3 data engineers, achieved a 50% optimization in their data movement, and empowered their marketing team with critical insights to drive business growth.

Hornblower

Karan Singh Khanuja

Data Scientist