Basically the data, to be useful, has to be capable of uncovering correlations with all sorts of demographics. Those clues can de-anonymize it. If we take your name out of a data frame (so that we can call it "anonymous") but leave all sorts of other properties (those being the payload useful to data science), you may be nevertheless identifiable from that combination of properties, together with other info known about you from other tracking sources.