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IBM Bets On Private Cloud Data Platform

One of the big obstacles to implementing advanced data analytics in the enterprise is how complex it can be. Whether you were starting with business intelligence a decade or more ago, or are trying to build a data science practice today, enterprises often cite the complexity of putting together the resources and technology to make it all happen. Analysts have often urged starting with small, high-impact projects to get to a quick win. From there it can be easier to get the investment dollars to expand the technology throughout the organization.

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