This course is designed for managers and Clevels who need to design or improve the data-driven strategy of their company. Participants will learn how to leverage BIA solutions in the context of complex organizations to empower their teams with data-driven insights and solve business cases they face.
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In today’s rapidly evolving business landscape, transforming raw data into actionable insights is critical for success. Driven by this understanding, companies invest heavily in Business Intelligence & Analytics (BIA) projects. However, despite their efforts, many struggle to realize the actual benefits of these data-driven solutions. Through real-world case studies, you’ll gain powerful insights and practical strategies to cultivate a data-driven culture throughout your organization. By the end of this course, you’ll have a clear roadmap for implementing BIA and unlocking the true potential of your data, propelling your organization toward sustainable growth.
The participants will obtain a certificate from the Luxembourg School of Business. Our school is certified by the Ministry of Education as a lifelong learning organism and member of AACSB (Association to Advance Collegiate Schools of Business).
The course takes place 30 June, 2026 - 1 July, 2026 from 9:00 a.m. until 5:00 p.m.
By Car: Free parking is available at Park&Ride Stade de Luxembourg, 420, route d’Esch (8 minutes walk to LSB)By Bus: The “Schaarfen Eck” bus stop is just a 2-minute walk from the school.
Matteo Forgiarini, Ph.D., is the academic director of the Bachelor in International Business program at the Luxembourg School of Business. He received his Ph.D. degree in 2011 in the field of quantitative methods and cognitive neuroscience. He worked as a researcher and lecturer at the University of Milano-Bicocca in Italy, Harvard University in the USA, King’s College London in the UK, Yschools Business School and ISG in France. After completing his Ph.D., he has been working for various companies in Italy, France, and Luxembourg acting as a consultant and as a manager in the field of data analysis, business intelligence, and data governance. His main research interests are in the fields of data-driven decision-making for business, digital transformation, and early warning signals.