If you believe the statement from Michael Chui, a partner at the McKinsey Global Institute, quoted below is true then you must believe in self-service BI & Analytics.
The challenge in the past has been to reconcile the needs for localised, self-service BI with the need for security and scalability. Some BI/Analytics tools vendors have made the leap- some more than others.
So make sure you explore an analytics platform that combines enterprise-wide scalability and security. That the IT group can implement with confidence including extending self-service BI to information creators and information analysts.
Better still, overcome one of the limitations of most BI technologies- they are poor at write-back.
Write-back is the ability to update source systems, such as databases, to maintain systems of record while staying within the context of a BI application. This is essential to the concept of embedded BI.
With support for database write-backs and the ability to initiate backend processes from within the analytic content, end-users can update source systems directly in the same context as their analysis. A good BI application will enable these data updates in a secure and managed way.
“There are real business-relevant signals in all of these types of media,” Chui says, “and we’re seeing a lot of innovation in tools and techniques to try to analyze those things and analyze trends and consumer sentiment. So if you think these sources and types of data are relevant for making business decisions, and in many cases those decisions have to be made on an increasingly local level, then you have to ask yourself, how can you bring the tools that allow you to use these new sources of data to the person who can best make use of that data and those insights.”