During the past few years we have seen a strong development of BI, or software for use in private intelligence. Today this has become an area of study for software engineers. On the management side the problem has been studied as part of decision support systems. There has also been much research trying to combine the software side with the management practice side of intelligence, or competitive intelligence. (The distinction of these different academic communities is illustrated in the journals, by decision support systems, journal of global information management, business intelligence journal, journal of knowledge management, expert systems, information resource management journal, information and management, interfaces, cir, decision sciences, information quality management). An important question for us at Blekinge Institute of Technology is exactly this integration. In a larger sense there is also the question about the integration of state/public and private intelligence. How do we set the limits? What works? What does not work? E.g. it is very difficult to get someone with a management or economics degree to make real contributions in software development. And it is difficult to get state and military organizations to open up and see the benefits of private intelligence. At the same time it seems clear that these two levels of integration are often called for.
To recapitulate I see two forms of integrations: 1. between Bi and CI, 2. between Private and Public/State intelligence.
I welcome your ideas on this topic.
The attachment is an example of a course developed between software engineers, management academics and a lawyer for the Swedish Police Academy (state intelligence).