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Based on a teenager’s shopping habits, department store Target concluded that she was pregnant. The department store sent her advertisements for baby equipment after her visit. Her parents angrily rang the bell with the manager of the relevant branch… A few days later it turned out that the data system of the Nigeria Phone Number List store knew the daughter better than her parents. You have probably heard this anecdote before. It made it clear: big data was the future. And indeed, big data has proven its worth for many things related to business, sales and marketing.

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For example for personalization of promotions, recommendations and subscriptions. Big data gives companies the opportunity to quickly deduce ‘what’ is happening from very large numbers of flat data and to make explanations and predictions based on this. Due to an increasing Nigeria Phone Number List in technology, data and machine learning , it seems attractive to also use big data for innovation. But that’s where things often go wrong . Although big data can tell you a lot about ‘what’ is happening, you usually come home with a rude awakening if you want to know ‘why’ things happen.

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And let it be precisely the why question that is interesting for innovation. Example: odor neutralizing spray An example based on the initially failed product Febreze from P&G. P&G first patented odor-neutralizing and absorbent spray technology in its new Febreze product. The product Nigeria Phone Number List marketed in the early to mid 1990s. Photo of Febreze doing a test with thick data. With the help of television commercials, consumers learned about the new technology being used in Febreze. It can be sprayed on fabrics, carpets, furniture and other household items to neutralize and dissolve odors. P&G thought they had a winner in the house.

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