Last Wednesday, February 22, the “Prime Assumption Rules” event, sponsored by Finance Atena, was held on LinkedIn Live and Zoom. The session was moderated by Leandro Nadir Baroncini, Founder & Creative Director of Emotions for Business, who served as the interviewer, and Paolo Zammitti, Head of Finance Atena, who explained to our viewers the concept of Prime Assumption Rules - what they are, how important they are to the reliability of predictive models, and why no one ever talks about them.
Knowing how to manage a massive amount of data is not only essential for those who handle Big Data but also—and above all—for those who analyze an economic entity, since every company, project, asset, or portfolio is a complex system that must be analyzed with the care it deserves. In fact, whenever a company or business—regardless of the sector in which it operates—conducts a predictive, economic-financial analysis of its business model and/or its investments, it must take into account a series of fundamental principles and rules—from the perspective of reliability and accuracy—to ensure the analysis’s success. Finance Atena defines these principles as “Prime Assumption Rules”—that is, the logical foundations from which to proceed when working with a database of data and variables on which to perform this type of analysis. The true starting point, however, is to definean architecture that links the variables and the database data on which the analysis will be performed.