We are going to see Klarna’s story from an engineer’s and data scientist’s point of view, where first we look into their data organisation and structure, and later we’ll devote the white space to their machine learning models for superb purchase experience.
In today’s digitalisation-powered and data-driven, speed-of-light changing world, customers have become more demanding than ever. And companies are looking for solutions to place customers in the centre of their business and know them like the back of their hand. This is where customer-centric data science finds its place – as a strategy for improving, personalising customer experiences with data science and considering business from a point of view of individual customers.
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