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.
