The Human Cloud will usher in new Services models. Models built on the use of Data Science, predictive analytics, and business intelligence.
With big data analytics changing rapidly and straining information structures, corporations and governments need what McKinsey calls “executive horsepower” or “top-management muscle” behind its data initiatives.  Accordingly, a C-level officer (e.g., Chief Data Officer, CTO, or Chief Analytics Officer) with a strong business background (one hopes) must have the mandate to lead model analytics centers. In order to succeed, corporate analysts with deep data experience fortified by the use of expert-global-third-party-based innovation platforms outside their four walls
must have a clear strategy with defined initiatives to achieve business results. A forward-thinking analytics strategy thus needs to take place at the business unit level. Why? First, priorities will differ by business unit; the treatment of data in one business unit may have little utility in another. Second, management priorities have to reinforce functional level goals with targets and metrics. A C-level executive who can work with business line managers and still champion analytics in the C-suite is a must.
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