Data can be any raw material and it is not necessary that all data is meaningful, useful, and arranged in a correct order. Hence, we need to extract knowledgeable data from all the raw materials and make it useful, structured, and organized, known as information.
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.