Data is used to create information. Have you ever looked at a table of figures, and not known what to do with them? That’s what data is without any kind of assessment or extrapolation. When all you have is a set of data, it doesn't usually mean much. Let’s say that out of 100 people, 20 of them prefer Body Wash A. The other 80 ranked Body Wash A dead last. That’s the data. The information is the “why do I care?” and the “so what?” that comes from the data.
For this set of data, information that comes from that would be that Body Wash A is doing badly in sales. As for why, that comes down to ingredients, scents, etc.