Strategic and competitive intelligence

Provided by: 



M.Sc. in Data Science and BI


Polo Fibonacci, University of Pisa


Antonelle MARTINI






Educational Goals: 

CI programs have goals such as proactively detecting business opportunities or threats, eliminating or reducing blind- spots, risks and/or surprises; and reducing reaction time to competitor and marketplace changes. The end product of any worthwhile CI activity is what practitioners term Ôactionable intelligenceÕ Ð i.e. intelligence that management can act upon; perspective. It is more than analysing competitors: it is a process for gathering information, converting it into intelligence (about products, customers, competitors, and any aspect of the environment) and then using it in decision making. In this sense, big data brings big change to CI. The course is very interactive and includes also in-class seminars with experts on emerging topics, defined each year (i.e. patent analysis, due diligence, social network analysis for business). It provides many tools and techniques; HBS cases are used. Students will apply these tools in groups when analysing a preselected case company. They are expected to present early stage versions of their CI reports and, in the final workshop, they will present the results of their CI analysis, which is then discussed in plenary.
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