CargoStats – Extraction of Information from Transport Data
Maritime transport is one of the main means of transport in the world. Import and export data are a reflection of companies, country performance and economic growth. The analysis of this data can have a major impact on several institutions, contributing to their tactical and strategic plan.
Despite the robust systems in operation in Portugal, the data resulting from the process of importing and exporting maritime cargo to and from Portugal is not publicly accessible. For example, in the United States of America, where boarding acknowledgments are public, there are several applications that carry out analyzes allowing to obtain information about the international market for cargo transport by sea. Portuguese public institutions also carry out some statistical analyses, but these are neither accessible in a timely manner nor complete.
The objective of this project is the development of a business intelligence application using microdata from the Instituto Nacional de Estatística, which are captured directly from customs. It is intended to show the potential and usefulness of the information generated from these data for different actors in the import and export process.
Master’s thesis – CargoStats – Extraction of Information from Transport Data
Author: Ricardo Carvalho
Investigation company: Maeil
Teaching entity: Instituto Superior Técnico
Keywords: Data Warehouse, Multidimensional Design, Sea Freigh Transport Data, Business Intelligence, Cargostats
Date: June 2016
Thesis: CargoStats – Extraction of Information from Transport Data
About MAEIL
MAEIL is leader in the Digital Transformation of the Logistics and Transport Sector and SME companies in Portugal and PALOP, and has logistics management solutions and ERP integration for SMEs in various markets.
With focus in excellence, in 2018 MAEIL become a company certified under the integrated Management System – Quality and Innovation, according to the international standards NP EN ISO 9001:2015 and NP 4457:2007.
