Many of you probably remember the “Points of Control” Web 2 Summit Map from last year, it was very well received. Hundreds of thousands of folks came to check it out, and the average engagement time was north of six minutes per visitor. It was a really fun way to make the conference theme come to life, and given the work that went into its creation, we thought it’d be a shame to retire it simply because Web 2 has moved on to a new theme.
As I posted last week, this year’s theme is “The Data Frame.” From my updated verbiage describing the theme:
For 2011, our theme is “The Data Frame” – focusing on the impact of data in today’s networked economy. We live in a world clothed in data, and as we interact with it, we create more – data is not only the web’s core resource, it is at once both renewable and boundless.
How, I wondered, might we update the Points of Control map such that it can express this theme? Well, first of all, it’s clear the game is still afoot between the major players. Some boundaries may have moved, and progress has been made (Bing has gained search share, Facebook and Google have moved into social commerce, etc.), but the map in essence is intact as a thought piece.
Then it struck me – each of the major players, and most of the upstarts, have as a core asset in their arsenals *data*, often many types of it. In addition, most of them covet data that they’ve either not got access to, or are in the process of building out (think Google in social, for example, or in deals, which to my mind is a major play for local as well as purchase data.) Why not apply the “Data Frame” to the map itself, a lens of sorts that when overlaid upon the topography, shows the data assets and aspirations of each player?
So here’s where you come in. If we’re going to add a layer of data to each player on the map, the question becomes – what *kind* of data? And how should we visualize it? My initial thoughts on types of data hew somewhat to my post on the Database of Intentions, so that would include:
– Purchase Data (including credit card info)
– Search Data (query, path taken, history)
– Social Graph Data (identity, friend data)
– Interest Data (Likes, tweets, recommendations, links)
– Location Data (ambient as well as declared/checked in)
– Content Data (Journey through content, likes, engagement, “behavioral”)
Those are some of the big buckets. Clearly, we can debate if, for example, identity should be its own category, separate from social, etc, and that’s exactly the kind of argument I hope to spark. I’m sure I’ve missed huge swaths of landscape, but I’m writing this in a rush (have a meeting in five minutes!) and wanted to get the engine started, so to speak.
I’m gathering a small group of industry folks at my home in the next week to further this debate, but I most certainly want to invite my closest collaborators – readers here at Searchblog, to help us out as we build the next version of the map. Which, by the way, will be open sourced and ready for hacking….
So please dive into comments and tell me, what are the key categories of data that companies are looking to control?