The hype of Big Data is peaking, and a lot has been published about it and what can be accomplished with advanced business analytics.  As a result, many people – regardless of role or function – are looking for ways to get more out of the data available today. We saw in 2013 a growing tension developing inside large enterprises regarding analytics. While there is little debate about the value or even the priority of developing a more powerful use of data science and analytics to drive decisions, the real issue is where the priorities should be from a spend standpoint.  This will only increase in 2014, as more and more people on the business side of the enterprise ask themselves, “what can we learn from the data we have?” and look for ways outside of traditionally IT-driven solutions to reap the benefits of analytics.  The tension is only exacerbated by the rapid rise in interest in analytics based solutions, where IT budgets are not keeping pace with the increasing demands. The two approaches in data analytics that cause this tension can be characterized as Inside Out and Outside In.


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