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It’s All Subjective Really
September 8th, 2008. Posted by Fabrice RetkowskyOne piece of work we did for the latest release of Brandwatch was to add a ‘normalise’ option to our graphs. It was at times difficult to know, by looking at a graph, which variations in a brand’s number of mentions (or in its sentiment) where really meaningful. Quite often variations may be unrelated to the brand: it may be that more posts in general were produced on that day, or that our spider crawled better, etc. So when graphing several brands, it made sense to correlate the brands’ statistics in order to infer which variations were really important – which is roughly what normalisation does.
One other way to look at this is: given some data, how do you turn it into useful information. And this is really, really subjective. What I consider as noise, you may consider as insightful – and vice versa.
Even assuming we agree on what we try to measure, and on what would make an interesting measurement, the interpretation of the information is by definition subjective. A good example of this is … the housing market. My specialist subject again.
Let’s summarise what seems to be the common understanding of the UK housing market – according to the press, tv, estate agents and other ‘experts’:
Bottom line: as soon as banks go back to normal lending practices, the market will boom again.
I’m not a financial advisor, nor am I an economics expert, but the above sometimes sounds like wishful thinking to me. It is an interpretation of some information, and it does sound plausible in some respect. But it is possible to come up with a contradictory interpretation which will sound just as plausible, if not more:
Bottom line: the UK market is in for a serious crash, from which it won’t recover soon. The higher you go, the bigger the fall.
Endless blog posts could be written about the merits of either interpretation (and this is already quite long). But my point is: how do you get Brandwatch to build a sound, logical (irrefutable?) narrative from the data? That is one of the challenge we currently face.