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Identifying new shop implantation thanks to geo-data analysis

In this blog, we will see how we can perform geospatial data analysis in order to identify new business opportunities.  For this showcase, we will focus on the retail sector and more precisely on the supermarket leading brands in Belgium: Colruyt, Delhaize, Carrefour, and Lidl.  We analyzed the location of supermarkets in Brussels, computed the average time travel to the closest supermarket for Brussels neighborhood and see how these four major brands are sharing their market zone among Brussels neighborhood accordingly.  We are reusing the techniques detailed in the Dynamic Web scrapping blog post.  The techniques described in this post can be useful for all sorts of B2C companies involved in the retail sector, where competition is generally strong and shop implantation matters. ...

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Scrapping land invest data from dynamic web

In a previous blog post, we have seen how to mine information on static web pages.  In this blog post, I'll explain how we can do the same on dynamically (i.e. javascript) generated web pages.  As a showcase, I will show you how to find the best land investment you can make in Belgium today... ...