After ManyEyes, Swivel is another site that another site that lets users upload and share information. It’s more explicitly modeled after Flickr and other web 2.0 sites, with community building and “fun statistics” (highlights today include chart showing number of people attending the burning man festival and the nationality of cyclists in the 2007 Tour of California).
The site illustrates one of my favorite issues with business intelligence: that having the data and being able to analyze it doesn’t mean that people will necessarily make the right conclusions and take the right decisions.
Much as I’d like to think that the chart implies that drinking more wine would help reduce violent crime in the US, I’m guessing there are other causal factors at work here.
Here’s another example, purporting to show relative crime rates for Wal-Mart and Target. Again, viewers should be cautious of how the data should be interpreted (if it’s accurate — one of the inevitable problems of this type of site). For example, it probably means that there are more Wal-Marts than Targets in high-crime areas, rather than saying that a Wal-Mart that’s right next to a Target store is likely to suffer more crime.
Luckily, In the comments area, users are free to debate competing interpretations of the information, and link to other charts that may shine light on the question. Organizations analyzing their own data could clearly benefit from this type of functionality, and some of the vendors in the commercial BI space have offered technology along these lines (e.g. Business Objects XI threaded discussions). Easier, more effective collaboration is clearly part of the future of BI.
Personally, I’m not particularly interested Eximio’s distribution of pee frequency, but then again, that’s one of the benefits of the 2.0 approach — there’s full support for search and “most popular analyses” to help navigate through the vast number of different charts (more than 1.1 million at time of writing) that are already available (the site is only two months old).
Anything that gets people more interested in data, and more aware of some of the issues surrounding its interpretation, can only be a good thing for the BI industry.