Visualising big data can often be a handy tool for upper level management. In a matter of seconds, you can see flu trends, popular areas in a city, internet outages, web fraud, what is popular in your shop, and much more. Handling huge amounts of data is usually restricted to a specialised few, but with heat maps, data becomes accessible to everyone. We have compiled a list of 3 heat maps that simplify massive data sets into neat visualizations. RetailNext is a fascinating example of “offline” analytics. The company offers a visualisation of customer behaviour in retail stores. The areas that are red represent the places where customers spend the most time. Through this information, retail stores can understand what product placements are working, see whether a sales campaign was successful, and even gauge whether the store should be re-organised.
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