Data Mining Research Interview: Roberto Battiti

After reading the first chapters of Reactive Business Intelligence, I was suprised: what a clear way of presenting complex topics! I thus decided to ask a few question to one of the author, Roberto Battiti. To know more about their excellent book, read this post.

... DMR: How did you come up with the idea of your book "Reactive Business Intelligence"?

Roberto Battiti: It grew out from my passion (shared with my colleague Mauro Brunato) for combining business intelligence with learning components. Building learning systems, following the human paradigm of "learning on the job" is my old obsession, leading to the introduction of Reactive Search Optimization ideas in the last decades.

DMR: Why this new term? What does it mean to you?

RB: The word reactive hints at a ready response to events during the business intelligence process through an internal online feedback loop for the self-tuning of the system. Developing reactive models which rapidly adapt to the decision maker wildest desires, this is our objective.

A connection between visualization and problem-solving strategies is also at the heart of RBI: the decision maker can be, and should be, in an interactive loop, rapidly reacting to first results and visualizations to direct the subsequent efforts to suit his needs and preferences.

DMR: What advice would you give to people involved in data mining / business intelligence?

RB: To forget about computers to concentrate their creative energies to navigate from data to insight. I am exaggerating a bit of course, but computers are now so powerful that they should become invisible to the user. To make a concrete example, the user should not be asked to read manuals to start analyzing his data. This is why we think that having the system learning the user preferences can help. This is a long-term goal of course, but the path is clear.

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