Renata Trinca Colonel

Renata Trinca Colonel serves as Associate Professor of Practice at SDA Bocconi School of Management and Adjunct Professor of Statistics at Bocconi University, where she directs Executive MBA programs and coordinates Business Data Analytics for Open Programs. With continuous engagement since 2002, she leads specialized master programs and executive education initiatives focused on data-driven decision-making across global business contexts.

Her educational foundation includes a degree in Economic and Social Disciplines (D.E.S.) from Università Bocconi and the International Teachers Programme (ITP) from SDA Bocconi School of Management (2009).

Trinca Colonel's research centers on business analytics applications including data visualization, marketing research methodologies, and statistical modeling for business optimization. Her work bridges theoretical frameworks with industrial implementation across energy, transportation, retail, and financial sectors, emphasizing practical translation of complex data into strategic insights for managerial decision-making.

Her publication portfolio demonstrates consistent focus on analytics deployment in real-world business environments, with recurring themes in marketing research design, predictive modeling, and data visualization techniques. Recent works show increasing emphasis on hyper-complex scenario management and automotive sector applications, reflecting evolving industry demands for sophisticated analytical capabilities.

Her professional recognition includes:

• Innovation in Teaching Award (2017-2018) from SDA Bocconi School of Management (awarded 2019)

As Academic Director of Executive MBA programs and Program Director for Data Analysis courses, she maintains extensive corporate engagement through consulting projects with multinational entities including Enel Green Power, Ferrero, and Banca Mediolanum. Her industry collaborations focus on implementing data analytics frameworks, predictive modeling solutions, and market research systems across diverse operational contexts.