Post by account_disabled on Mar 5, 2024 18:57:08 GMT 12
With the growth of Big Data, one of the key points of the future of digital marketing is precisely the involvement of data in marketing decisions: we have already seen how Big Data can be a valuable aid for interesting forecasting models but we are still talking about a series of information, deriving from data that have been extensively analyzed and interpreted. The conceptual distinction between Marketing Data Driven or Insight Driven is a more philosophical question than anything else in a chicken-or-egg style but it is important to understand what the true vector is that transforms data, a set of names and numbers, into information with meaning.
What I mean is that the concept of "Data" (be they small, medium or big) is in itself limited considering the size of the field in which marketing wants to apply Hong Kong Telegram Number Data them: if humans were robots, we wouldn't have problems because they we would know how to act according to laws that predetermine them. Man's irrational behavior makes everything more complex and more difficult to predict from the data collected alone, often frustrating the efforts of predictive models: when the first cake mixes were launched years ago (dough ready in 5 minutes) no one would have ever imagined that they would have had the success they deserved but after an analysis with hundreds of housewives it was discovered that the preparation was too "ready-made" and took away from the ladies the pleasure of being protagonists in cooking something for their family.
In their 2.0 version, aspiring cooks were asked to take the preparation, add eggs (or milk, I don't remember but it's the concept that counts, right?) and everything changed: this simple step made it one of the most popular products of the time. . This is to say that when dealing with the irrationality of man (of woman in this case) a human intervention is always necessary to interpret the data. Statistical analyzes can help make decisions which, in any case, will take into consideration a series of other factors independent of the data in our possession. Of course, the data is fundamental to have a basis from which to start but these must be structured according to logic that cannot be valid for all companies without distinction: this is only to demonstrate the importance of having a serious analyst behind the mass of data that we have worked so hard for to collect.
What I mean is that the concept of "Data" (be they small, medium or big) is in itself limited considering the size of the field in which marketing wants to apply Hong Kong Telegram Number Data them: if humans were robots, we wouldn't have problems because they we would know how to act according to laws that predetermine them. Man's irrational behavior makes everything more complex and more difficult to predict from the data collected alone, often frustrating the efforts of predictive models: when the first cake mixes were launched years ago (dough ready in 5 minutes) no one would have ever imagined that they would have had the success they deserved but after an analysis with hundreds of housewives it was discovered that the preparation was too "ready-made" and took away from the ladies the pleasure of being protagonists in cooking something for their family.
In their 2.0 version, aspiring cooks were asked to take the preparation, add eggs (or milk, I don't remember but it's the concept that counts, right?) and everything changed: this simple step made it one of the most popular products of the time. . This is to say that when dealing with the irrationality of man (of woman in this case) a human intervention is always necessary to interpret the data. Statistical analyzes can help make decisions which, in any case, will take into consideration a series of other factors independent of the data in our possession. Of course, the data is fundamental to have a basis from which to start but these must be structured according to logic that cannot be valid for all companies without distinction: this is only to demonstrate the importance of having a serious analyst behind the mass of data that we have worked so hard for to collect.