Blog: David Loshin« Meet me in Las Vegas for TDWI | Main | Costly Bundler Blunder » Doubles Your Pleasure, Double Your FunThere is an oft-quoted statistic about the growth rate of data volumes that I wanted to use in some context, and I started searching for a source. I googled "data volumes" +"double every" to see what I could find, and to my surprise, lots of hits, but it is difficult to pin down the exact parameters. Lots of folks are using the statistic: "Data doubles every year" I am still following links from the first page of results, and we are doubling our data every 3 to 18 months. "Reed's Law states that the volume of data doubles every 12 months. " OK, so there is actually a law about it. Hold on a second, according to wikipedia this law is about the utility of (social) networks, so perhaps the law doesn't apply in all jurisdictions. Anyway, these may all be references to a UC Berkeley study on the growth of data , which said that the amount of information stored on media such as hard disk drives doubled between 2000 and 2003. So let's look at this a little more carefully - we have a scientific study that looks not at the creation of data, but rather the use of storage media to hold what is out there. And out there is a lot of stuff needing a lot of storage, like images, music, videos, etc. Things that have information yet from which are still a challenge to extract data. Also, consider that for each thing out there, there are likely to be a lot of copies! I am sure that a scan of all the TiVos in the country would demonstrate that lots of people are still catching up on older episodes of 24 and American Idol. I need to refine my question a little bit, then, but I am afraid it will be difficult to track down defensible sources for it. I am more interested in knowing about the growth rate for data that can be integrated into an actionable information environment. I may not care about the bits comprising that specific episode of 24 that is sitting on millions of DVRs, but as an advertiser, I might be interested in profiling which households have watched which episodes and at what kind of time shift. Anyone have any ideas? |