Leo Mršić

Leo Mršic, PhD, University College Professor graduated with a major in insurance; earned MSc degree with a major in business statistics; earned PhD degree in data science all at University of Zagreb, Croatia, Europe. Combining business and technology approach, he has great field experience related to many industries like retail, insurance, finance, ICT, business law and project management. Has relevant top management and consulting experience participating in many projects across the supply chain with focus on retail. Active in conferences and guest lecturer on several university programs related to various aspects of business like management, consumer behavior, data science/data mining and managing business risks. Co-author on several books in area of data science and it’s appliance in business. Member of the board at Croatian Oracle Users Group, member and mentor at Young Executives Society in Croatia, member of Croatian Association of Court Expert Witness in Croatia.

Publications

Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries
Goran Klepac, Robert Kopal, Leo Mrsic. © 2017. 33 pages.
Early warning systems are made with purpose to efficiently recognize deviant and potentially dangerous trends related to company business as early as possible and...
Efficient Risk Profiling Using Bayesian Networks and Particle Swarm Optimization Algorithm
Goran Klepac, Leo Mrsic, Robert Kopal. © 2016. 34 pages.
Chapter introduce usage of particle swarm optimization algorithm and explained methodology, as a tool for discovering customer profiles based on previously...
Efficient Risk Profiling Using Bayesian Networks and Particle Swarm Optimization Algorithm
Goran Klepac, Leo Mrsic, Robert Kopal. © 2016. 33 pages.
Chapter introduce usage of particle swarm optimization algorithm and explained methodology, as a tool for discovering customer profiles based on previously...
Developing Churn Models Using Data Mining Techniques and Social Network Analysis
Goran Klepac, Robert Kopal, Leo Mršić. © 2015. 308 pages.
Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and managing risk, further research in...
Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries
Goran Klepac, Robert Kopal, Leo Mrsic. © 2015. 34 pages.
Early warning systems are made with purpose to efficiently recognize deviant and potentially dangerous trends related to company business as early as possible and...
Widely Applicable Multi-Variate Decision Support Model for Market Trend Analysis and Prediction with Case Study in Retail
Leo Mršić. © 2014. 30 pages.
Chapter explains efficient ways of dealing with business problems of analyzing market environment and market trends under complex circumstances using heterogeneous...