The skills gap

Another real and present reason for the lack of progress in developing and leveraging data and analytics is the talent gap. The talent gap has been discussed widely in academic circles, within data science teams, and in the press that is oriented toward the science and engineering communities. In the popular press, the conversation is typically discussed in terms of the lack of students in STEM (Science, Technology, Engineering, and Math). There is definitely an issue with the lack of qualified students in this broader area, but when you narrow the focus, the problem for advanced analytics teams becomes even more acute.

Hiring managers cannot find and hire enough talented people to build, manage, and maintain a rich, growing, and evolving analytical ecosystem across all of the industries, geographies, and companies that want to build out their analytics capabilities.

Tom Davenport and his co-authors also explored organizational gating factors in the adoption...