Let's take an example to understand

[fomayof928@mowline]

Distinguishing or classifying data represents one of the most basic interpretation models from which the transformation of the data into information begins. The next step will be when Leonardo will begin to associate an image or a meaning to each word, until he gets to understand entire sentences. Fantastic! We have already learned that: an interpretation model shows us information where we only saw data the data hasn't changed; what has changed is our way of looking at it! an interpretation model can start simple and become more refined over time A model relates data and meanings The simplest way to start doing data analysis, using this first approach, is to try to correlate two sets of data of different types in the same time period.


Let's take an example to understand how to apply this experiment uk phone number list to digital marketing. Suppose you want to understand what relationship there is between a sponsored social media campaign and the sales of an e-commerce site. One way to do this is to overlay the trend of impressions of that campaign with the trend of sales over the same period of time. By repeating this simple analysis for all the campaigns, you will be able to compare them and understand which ones performed better.


Obviously, every analysis must be contextualized, in the sense that almost never a certain phenomenon (for example online sales) is completely explained by one and only one argument. Typically, in fact, what happens is that the phenomenon of interest is influenced directly or inversely by a certain number of arguments, more or less intensely, and it is only through data analysis that it is possible to go beyond perceptions, approaching in a more scientific way.