Elisabetta
Trevisan
Practice Director Horsa Insight
Elisabetta Trevisan is the Practice Director of Analytics Consulting at Horsa Insight, a company of the Horsa Group. She holds a BA and a PhD in Economics from Ca’ Foscari University in Venice and has extensive experience as a researcher in universities and research institutions both in Italy and abroad.
She has been involved in research projects in the field of economics, with a focus on the labor market and welfare, working with complex datasets (survey and administrative data) and managing surveys at the European level. She has also taught economics and statistics at Ca’ Foscari University in Venice and the University of Padua.
Since 2016, she has been working at Horsa on data science projects related to Customer Analytics and consulting initiatives aimed at helping companies define their data strategy, adopt new technologies, and foster a data-driven culture.
COURSES
This course will provide the theoretical and methodological framework to properly
design a marketing data strategy: Starting from the analysis of the negative effect of a “poor” data
strategy, the course will go through (using also use cases and practical application) the main steps
necessary to assess organizational business needs, define priorities and design a data strategy
execution plan.
This course aims to provide participants with a comprehensive understanding of the strengths and weaknesses of various customer loyalty and value measurement approaches. It will explore the connections between Customer Loyalty scores, Customer Relationship Management (CRM) tools, and Customer Profitability, demonstrating how companies translate CRM metrics into strategic decisions. Participants will also gain insight into the practical implementation of CRM within organizations, including the tools, skills, and processes involved. Additionally, through case studies, they will examine how CRM strategies and metrics vary depending on strategic goals, industry dynamics, and business models.
Applied Marketing and Sales
Analytics and AI for Marketing
