Not the best case study in the world, but a fun one:

I was bored at work seven years ago today. I can tell that because I was just looking through old emails and seven years ago today I was emailing Seb with an 'audit of recent text messages'. Here is who I was text messaging seven years ago:

What fun to have that data and be able to look back - not at who I remember being in touch with - but who I was ACTUALLY in touch with. There are some names on there I had completely forgotten about! One good reason to gather data and keep it laying around, I guess. I'll probably dig it out again in another seven years and then I'll really appreciate it!

(If I hadn't swapped phones so often I'd have kept all text messages since then and I could do some trend analysis.
1

Since someone leaked the British National Party's membership list to the internet, I thought I'd take a look.

Here are some common first names:

And some common last names:

No surprises there then!

I couldn't find a Singh or Patel. Odd.
3

I'm currently working on advertising strategy and someone just forwarded me a document arguing that when a major brand 'goes dark' on advertising for a long period, it significantly damages the brand. But I drew the opposite conclusion from the document!

The article is by an organisation with -to put it politely- a vested interest in keeping the advertising dollars flowing and so there are a few misleading things in there. But I thought one misleading conclusion was particularly fun.
1

I saw another article today on how supermarkets waste too much fresh food. I thought I'd post a quick chart showing an easy way to reduce waste: buy more stuff!

Slow selling products lead to waste. They always will. So look for products that don't sell very well and buy more of them!

The following chart shows what waste might be expected for fresh food, at different sales rates.

I was playing around with a really cool and easy to use analysis tool for Excel, Analyse It. And I thought I'd show how easy it is by running an old data set through it. So here is some quick analysis of an old political campaign I worked on. Seriously, this took about 30 minutes total. 

We won the race overwhelmingly. In fact we won every precinct in the city. One thing the tool allows you to do is compare groups of data.
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