10 Hadoop-able Problems

Anyway, a meeting was arranged for today where we could watch a presentation on Cloudera’s Hadoop (which you can see here at GoMeeting, although only on windows and only after registering (great, more vendor lockin!)). It was called ’10 Common Hadoopable Problems’ given by Jeff Hammerbacher (their Chief Scientist no less!) and was basically things that you can do with hadoop (that isn’t counting words…). I thought I would summarise them here, although I’d encourage every last one of you to watch it as it’s pretty interesting.

1. Modelling True Risk – If you think about this in the context of banks or other financial institues (which is, well, banks) this is a really useful way of burrowing deeper into your customers. You can suck in data about their spending habits, their credit, repayments everything. Munge it all together and squeeze out an answer on whether to lend them more money.

2. Customer Churn Analysis – Hadoop was used here to analyse how a telco retained customers. Again, data from many different sources, including social networks AND the calls themselves (recorded and then voice analysed, I guess) were used to work out how and why the company were losing or gaining customers….

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