Our customers come from a variety of verticals and range from e-commerce, utilities, retail to finance. They are all leading companies with one thing in common: they know that creating data driven products keeps them competitive.
Predicting demand for fresh bread in supermarkets
Setting Hadoop infrastructure and developing data-driven use cases
Better customer relations by using machine learning algorithms
Personal recommendations based on viewed content
Data Science Suite on Microsoft Azure
In order to improve the user experience of their website, Transavia has introduced personal recommendations based on machine learning algorithms. For the collection of clickstream data, the airline implemented open source clickstream collector Divolte.