Operationalizing Analytics

Good points, barriers yes, but not as difficult as it is stated.  We did it years ago.  Depends too upon what you mean by 'analytics', I define it broadly as using computational means to regularly improve decisions.  Embedded or not. Automated as needed.

Why Operationalizing Analytics is So Difficult by Lisa Morgan in InformationWeek

Plenty of companies have plenty of data and plenty of analytics tools, but they fall short when it comes to converting analytics results into action.

Today's businesses are applying analytics to a growing number of use cases, but analytics for analytics' sake has little, if any, value. The most analytically astute companies have operationalized analytics, but many of them, particularly the non-digital natives, have faced several challenges along the way getting the people, processes and technology aligned in a way that drives value for the business.

Here are some of the hurdles that an analytics initiative might encounter. .... "