PREDICTING CUSTOMER BEHAVIOUR BY DATA-MINING

Hey guys

I’ve read the journal  Provost,F., & Fawcett, T. (2013). Data Science and its Relationship to Big Data and Data-Driven Decision Making. Big Data, 1(1), 51-59. “Notes on Data Science and its relationship to big data-driven decicion making”.

PREDICTING CUSTOMER BEHAVIOUR BY DATA-MINING

What got my attention on this journal was that you can predict customer behaviour by analysing the previous data.

E.g: Wal Mart studied customer’s demand in certain situations such as the (the arrival of a Hurricane). Here by studying the data of the supermaket on a previous Hurricane. What they found out is that just before the Hurricane they sold way more bottles of water, beers and straberry tarts than usual as well as some DVD’S. They emphasised the importance of data-mining as without information colected on the previous hurricane they wouldn’t be able to predict their best sellers products or perhaps not even be able to store enough of those products in advance.

Thinking about marketing: It would be interesting not to just supermakets but also shops, restaurants  and pubs to analyse their data and try to relate this with nature events. Perhaps even with moon phases and the effect that it has upon us. Once I watched a tv program about bouncers of night clubs and pubs  in the uk. They mentinoned when there is a full moon people tend to go crazier. Drink more = spend more !! If a full moon coincides with a pay day people-customers go even more mental. It should perhaps be interesting to analyze data along with moon phases to see if there is actually a relation. If it has, perhaps by doing promotions on certain products on a full moon would increase their sales.