In today’s digitally driven world, enterprises have gotten pretty good at the business of capturing and storing enormous amounts of data. Now they are challenged to unearth the business value that is buried in all of that data by using advanced analytics techniques.For many organizations, the hard part is figuring out how to move forward in a strategic manner.

They have the data, they have business analysts, and they have the IT infrastructure. Now they are asking: What’s possible with all this data? How do we get started down the path to advanced analytics and machine learning? How do we cultivate the expertise we need?This really isn’t a technology problem.

This is a people problem.

At a technology level, powerful, easy-to-use analytical platforms and solutions are now more accessible than ever before.

The real organizational challenge is one of cultivating the expertise and experience needed to capitalize on data analytics.

This challenge is exacerbated by the speed at which analytics tools and platforms are evolving.

Even if you have bona fide data scientists on your team, they will need help keeping up with the latest methods.To read this article in full or to leave a comment, please click here

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