Now, let's look into another case. The retail company where our friend Jonathan works asked him to generate ideas of how they can apply data science and analytics to improve their business. Jonathan worked in retail for many years, so he knows the business side pretty well. He has also read some books and attended several data science events, so he understands the practical capabilities of data science. With knowledge of both business and data science, Jonathan can see how data science can change his environment. After writing out a list of ideas, he will evaluate them from the business viewpoint. Projects with the lowest complexity and highest value will become candidates ...
Case study 2 – Finding a home for machine learning in a retail company
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