For people who haven’t yet read my Harvard Business Review piece last year on feeds and syndication technologies, let me summarize a theme that I find myself talking about to many groups: Dark matter — of the information type.
One of the great wonders of syndication technologies is that they free up and expose informational dark matter. I argue that organizations and individuals throw off ten bytes of dark matter (read: informal and often transient) for every byte of “lit” matter (read: formal and findable) that they issue.
But most of that information is latent and invisible, whether it is data about organizational processes, like a shop-floor controller, or environmental, like water levels in Mission Valley, or financial, like credit-card transactions, or technical, like referrer-log data, or meta, like the status of my Feedburner feed on an hourly basis (sorry guys, couldn’t resist). The list is endless and largely invisible.
All that information is out there and useful to someone, even if it’s someone waaaay out in the long tail (you knew I was going to say that). But it’s not been cost-effective to expose it. Until now. Syndication technologies make it possible to cost-effectively and usefully expose informational dark matter, which is more than press releases and blog articles, but is just about every kind of change of state you can imagine in our physical, social, and organizational environments.
What would you (or your organization) monitor if you could? What would like to know about that you don’t? What happens on a daily basis that would like to track but you can’t? What if you could search all that information prospectively and retrospectively? It’s a world-changer.
[Update] By way of response, Stephen Castellano gives an intriguing example of this sort of thing from the world of investment research.