Half measures won't work. Enterprises must adopt social/mobile, cloud, and big data technologies—all of them, not just one or two.
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In the six or so years I've been working with enterprise information technologies, I've seen three technology sets take off: social-and-mobile (2006-'07), cloud computing (2008-'09), and big data (2011-'12).
Thinking about all three together recently, and pondering Drew Conway's excellent Venn diagram defining "data science," I had an epiphany. It took the form of a Venn diagram representing a sort of Grand Unified Equation for Enterprise 2.0. Here it is:
The conceptual equation is roughly Enterprise 2.0 = (Social + Mobile) AND (Cloud) AND (Big Data). The fun part is in the labels for the parts of the diagram where you don't have all three. I'll leave it to you to figure out why I chose the labels I did for the partials.
If you drop any one of the three elements, the value doesn't drop to 66%. It drops to 5%. If you drop two of the three, you drop down to close to 0%. Or if you're the glass-half-full type, you could say that when we just had social + mobile, the potential value added to Enterprise 1.0 was x. This jumped to 5x with the addition of cloud computing and to 100x with the addition of big data technology.
The cost-benefit argument with any one or two elements is hard to justify. But argue for all three intelligently and suddenly the equation starts to look really good and truly radical.
And what's more, the implied organizational model no longer looks like a coat of paint. It starts to look radical enough to actually merit the 2.0 designation, rather than a 1.1. A CEO who understands the Venn diagram above will realize that it represents a significant business model shift. He or she is no longer being presented with an expanded IT budget request. It's a business model decision now.
Now that the trifecta is complete, the potential value has skyrocketed. Half measures will no longer do.
Data ubiquity changes everything The reason you need all three is simple: Enterprise 2.0 business models aren't actually very much better than regular ones when you're dealing with conditions of data scarcity. But under conditions of data ubiquity, they're radically better. The catch is that they're radically better only if you deploy all three technologies astutely.
If you're talking about a single Excel spreadsheet or warehouse-generated business intelligence report, it's hard to argue that you need a wiki or a blog to make use of it, or a cloud vendor, or a MapReduce ninja. Even with a terabyte of data, nothing much has changed--that data will fit on a $150 hard drive these days.
Move up to a petabyte of fast-changing, poorly structured data, and suddenly Excel and your old BI toolkit start to look like a joke. Your normal reporting and communication structures start to look silly.
Data ubiquity changes everything. Nice-to-have technology toys turn into must-have survival equipment.
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