Top reasons your Business Intelligence (BI) project will fail by Andrew Bourne.
Reasons 1) Data models are complex, 2) Dirty data, and 5) Decision making errors from misinterpretation of information, all have topic map like elements in them.
Andrew outlines the issues here and promises to take up each one separately and cover “…what to do about them:”
OK, I’m game.
There does seem to be a trend towards explanations for why “big data” projects are failing. As we saw in The Shrinking Big Data MarketPlace, a survey by VoltDB found that a full 72% of the respondents could not access or utilize the majority of their data.
I don’t view such reports as being “skeptical” about big data but more as being realistic that all the things necessary for a successful project of any kind, clear goals, hard work, good management are necessary for BI projects.
I will be following Andrew’s post and report back on where he comes down on issues relevant to topic maps.
I first saw this in a tweet by Gregory Piatetsky.