In my last post in this category I was arguing that a data culture is needed to make data actionable. “Enablers” and “obstacles” either foster or derail companies’ efforts in this space. The identification of these, respectively their presence or absence, help to identify the starting position. Subsequently measures can be defined to grow this important fundament for the effective use of data.
Depending on one’s background, “Business Intelligence (BI)” and “Analytics” are obvious or diffuse concepts. To become meaningful, these catch-all terms need to be boiled down to their essence. I would argue that BI and Analytics can be both just seen as means with the same end: Helping to answer questions and improve corporate decisions. Hence they make data actionable. But to do this, they need the right setting.