Learning Results
It is intended that students, at the end of this UC:
– know the fundamental concepts and trends associated with BI and BI in Logistics;
– know the components of a BI system, methodologies for its implementation, use, and management, particularly in theLogistics area;
– use Self Service BI tools to visualize data in logistics;
– understand the relevance of using data warehouses in logistics;
– Anticipate trends in BI in logistics and allow the connection between this UC and the following Curricular Units.
Program
P1 – Business Intelligence and Logistics Integration
P2 – Components of a Business Intelligence System
P3 – Identification of patterns in logistic data and reporting of trends
P4 – Data Warehouse Applications in Logistics
P5 – Methodologies for implementing a Business Intelligence project
P6 – New BI trends in Logistics
Internship(s)
NAO
Bibliography
John Wiley & Sons.
Few, S.(2019).The Data Loom: Weaving Understanding by Thinking Critically and Scientifically with Data, AnalyticsPress.
Pochiraju, B., & Seshadri, S. (Eds.).(2019).Essentials of Business Analytics: An Introduction to the Methodology and ItsApplications (Vol. 264). Springer.
Stefanovic, N., & Stefanovic, D.(2009).Supply chain business intelligence: technologies, issues and trends. In Artificialintelligence an international perspective (pp. 217-245). Springer, Berlin, Heidelberg.
Chae, B., & Olson, D. L.(2013).Business analytics for supply chain: A dynamic-capabilities framework. InternationalJournal of Information Technology & Decision Making, 12(01), 9-26.
Grabińska, A., & Ziora, L.(2019).The application of Business Intelligence systems in logistics. review of selectedpractical examples. System Safety: Human-Technical Facility-Environment, 1(1).