dunnhumby, a provider of software for customer data science, has launched a new web-based application on Microsoft Azure, enabling data scientists to deliver customer insights faster. dunnhumby Model Lab is designed to solve complex retail challenges, such as understanding customer churn and predicting propensity to purchase and in what channel, in store versus online. With these capabilities, the tool helps retailers and brands build loyalty and profitability by focusing on the shopper experience.
By automating many of the repetitive, time-consuming tasks, data scientists can focus on the modeling that delivers greatest value. The application uses machine-learning technology, hosted in Azure to achieve high performance, reduce run time, and allow data scientists to quickly explore many algorithms.
“dunnhumby Model Lab already empowers dunnhumby’s data scientists, and it has been integral in enabling them to create millions of models for retailers and brands around the world rapidly and efficiently,” said Kyle Fugere, head of innovation and ventures at dunnhumby. “We are democratizing customer data science for everyone and making Model Lab available on Microsoft Azure means that it is now accessible for retailers, brands, and businesses, large and small.”
“Putting the power of machine learning into the hands of more people is key to empowering every person and organization to achieve more," added Michael Wignall, Azure business lead at Microsoft UK. "dunnhumby, with its experience in data science, combined with Microsoft Azure, will deliver value to companies looking to use advanced machine learning within their business.”
dunnhumby Model Lab is available initially in the United States, with global rollout expected later this year. Learn more about dunnhumby Model Lab at www.dunnhumby.com/modellab.