Lifestyle is now just one of the Phone Number Database characteristics on which you can classify a zip code. Shoe size, favorite football club and number of pets are other examples. But lifestyle is an important one. The BSR model In my own company we often (but not always) use the BSR model . In it, all Dutch postcodes Phone Number Database are given a color based on the predominant habits, (brand) preferences and lifestyle data. In postal codes where you have not (yet) sold anything, but which have a comparable lifestyle Phone Number Database profile, you can then put up a billboard for your product.
If you happen to use the BSR Phone Number Database color chart, you also immediately know which other brands 'your kind of people' use a lot, and therefore also with which brand you can start a joint action. Without expensive Phone Number Database brand attitude polls, interest comparisons or opinion panels. 2. Don't go into Phone Number Database your data unintentionally. Test your gut feeling. Don't dive into your data unintentionally. That's one of the biggest mistakes budding big data analysts make.
They plod through gigabytes Phone Number Database of data looking for trends and correlations. Those people get bogged down in details, overlook the big picture and have to explain at their year-end meeting why no Phone Number Database breakthroughs have been achieved. It is better to gain anecdotal experiences and to substantiate them with the available data. Then you know which 'pin-in-the-data haystack' you Phone Number Database are looking for. McDonalds as an example Suppose you are the boss of McDonalds.