A dizzying pace of change
The technology landscape has rapidly evolved since I moved to D.C. in the summer of 2005. For many in the industry, such a statement might evoke an image of me crashing through an open door... still, this reality smacked me in the face just a few minutes ago. With a bunch of boxes scattered around my office, I stumbled upon some aged notes I took on a company called InfoEther during my first few months here at Computech. I had to pause, as I recalled my introduction to something called Ruby on Rails (at the time, a relatively new open source web framework) and the promise of distributed collaboration and co-creation.
Flash forward to today, and past discussions relative to the pros/cons of open source technologies and frameworks seem quaint, if not obsolete. Building websites using Ruby on Rails? The guys at Inkling built their predictive marketing platform using it (just as Hulu, Basecamp and other "must-have-bookmarked" sites on my laptop did). In organizations of all sizes, crowd sourcing is in. And so too the rise of web-based communities. McKinsey recently noted in its "Clouds, big data, and smart assets: Ten tech-enabled business trends to watch:"In just over two short years, Facebook has quintupled in size to a network that touches more than 500 million users.... More than 4 billion people around the world now use cell phones, and for 450 million of those people, the Web is a fully mobile experience."
This fast evolving digital world of ours sees data rates doubling every 18 months. Conversely, the cost for performing coherent analysis on consumer transactions, interactions and preferences continues to fall. The intersection of this supply & demand-like curve? Opportunities for people in marketing roles like mine to turn ideas into assets by capturing, analyzing and experimenting with data generated with, for and by an organization (be it formal or social).From a researcher's perspective, anchoring new initiatives upon a "test + learn" mind-set like the one McKinsey espoused means gauging the effectiveness of a plan or campaign by mining data from social networks. Forecasting demand, modeling interest, running clickstream analysis... and the list goes on + on. While a company like our 200 person IT firm pales in size and complexity when stacked up against the Zara's, ComScores and NASAs of the universe, that doesn't dampen my personal and/or professional interest in the Big Data space. So if you're interested, here are a handful of articles/blogs to check out:
- Aster Data's The Data Blog
- SAS's blog "Closing the Intelligence Gap"
- The Promise + Peril of Big Data, a piece published by The Aspen Institute
- Tech Crunch's post "Big Data Is Less About Size, And More About Freedom"
- The Data Deluge from the Economist (*registration required)
