The argument is as follows: There are an infinite number of potential metrics offered up by your standard analytics software. In spite of there being an infinite number of metrics, the actual amount of knowledge or information is limited. The value of a metric should be based on how much it contributes to the understanding of a system. I’ll unpack that. There are an infinite number of potential metrics. Take, pageviews. Take visits. Now divide pageviews by visits and call it ‘pageviews per visit’. Now apply a filter and look at only New Yorkers. You get New York City pageviews per visit. Now run a 31 day exponential moving average on the measure. You’d then get the New York EMA(31)[…]

Have you seen this? Pretty neat. Three points: This is a fun, accessible, relevant experience – and let’s thank the authors for it It is not the best use of layering more than two (2) sources of information “Like People Clump Alike”, “Birds of a Feather Flock Together”, and “Homophily” all mean the same thing; evidence of the phenom can be seen in this experience The authors enable anybody to have a personal experience with information, and to gain their own intuition about the way we are. And that’s great. *** I’m Christopher Berry.I’m a Data Scientist.This is what I’m working.

Harvard maintains a pretty awesome worldmap portal. It’s worth checking out. For instance, there’s an awesome series on China here. Information easier to process when it’s in layers. Using a map as the base layer is a great way to see the information. It can be intensely misleading if you don’t know where to zoom. But it’s comfortable. Check it out. It’s a great resource. *** I’m Christopher Berry.Follow me @cjpberryI blog at christopherberry.ca

The National Post had a rather large piece of data journalism yesterday. You can check it out here. Check out the two charts below. Alright – what should pop for you: More Canadians are employed in Health Care than Manufacturing. It’s only 2012. The knowledge economy is growing quickly. That labour mobility between these sectors isn’t nearly as efficient as you might think. There are alarm bells in there. Human bodies are far harder to service than oil extraction. Productivity growth is required, because there won’t be nearly enough people to take care of all those other people. It’s a good piece. *** I’m Christopher Berry.Follow me @cjpberryI blog at christopherberry.ca

“It’s murder on the dancefloor. But you better not kill the groove. Dj, gonna burn this goddamn house right down.” (British Kids will get it.) Owyang wrote on August 26 that it’s 1:50 am on the social software dance floor. Owyang’s summary is excellent and solid. It’s worth reading. It’s worth considering. I’m adding: I don’t know if it’s 1:50am, 12:05am, or 1755 for SMMS. The chart below is on reason why I’m not so sure: I don’t think we’ve even really gotten started. I don’t think we’ve even begun really using social technology to its potential at all. It’s 1755 and we’re unsatisfied with the amount of work that steam does. And meanwhile, old man McCraken is hollering about[…]

A pretty neat visualization from XKCD caught my eye. Check this out. It’s so much chart. Look at the big view. Wow. A few points: It’s a lot of chart. Look familiar? It’s very similar (identical) to the radiation exposure chart. It’s great take on a powers of 10 journey…it can be very hard for us to understand huge scales. *** I’m Christopher Berry.Follow me @cjpberryI blog at christopherberry.ca

This is pretty neat. Neil Fanthom put together this visualization of population pyramids of multiple countries. Demography is destiny. usually. It’s a pretty good implementation and worth checking out. *** I’m Christopher Berry.Follow me @cjpberryI blog at christopherberry.ca

Want attention? Make a prediction. The past, for most people, is static. It’s disempowering. Nobody likes a historian. And, in general, modern analytics produces artifacts that go to some data gulag. In many ways it’s worse than a museum. At least a museum has curation and it’s an exhibition of some aspect of the past. At least the material is architected to be engaged with and causes enlightenment. As much as the idea of a museum treatment to archival information is attractive from an operations optimization perspective, it’s the wrong direction. We belong to a forward-looking society. Tell me about the future. Predictions are powerful. They set expectations. High expectations are, rightly or wrongly, the fuel of choice for your[…]

In case you missed it, the NYT had a great article on the relationship between lines and complaints. Substituting occupied time with waiting time will increase satisfaction. Reducing uncertainty over the length of the wait will increase satisfaction. Reducing the perception of the length of the line, regardless of actual time spent in line, will increase satisfaction. It’s a great article, and worth the read. *** I’m Christopher Berry.Follow me @cjpberryI blog at christopherberry.ca

Special snowflakes are gleefully shouting ‘told you so’ about social media marketing. So brave. Gartner released their 2012 hype cycle a few days ago. Look at it below: You can see text analytics there, reaching the absolute bottom. Everybody, it seems, these days can say that text analytics sucks. Which is great, because being negative about an entire field is the surest way to demonstrate expertise in an otherwise crowded pack. They’re brave too. Predictive analytics is now mainstream, which is awesome because I no longer need to spend 12 weeks extolling its virtues early in the development cycle. Our good friends: HMTL5, Gamification and Big Data are nearing the peak too. Social analytics, it would seem, is jumping the[…]