| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 2.61 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Portuguese society is at a crossroads, requiring a proactive approach to address demographic
and economic challenges while ensuring social well-being and sustainable development. This
thesis examines the interplay between demographic trends and economic realities,
highlighting key factors such as aging, migration, and labour market dynamics. It underscores
the urgent need for Portugal to rethink traditional age-related benchmarks—early retirement,
late retirement, and old age—and to develop a comprehensive age policy that aligns with the
nation’s evolving demographic landscape. The analysis emphasizes the vital role of
demographic data as a tool not only to understand current realities but also to anticipate
future scenarios. Demographic trends are not fixed destinies; they present opportunities to
address risks and transform potential threats into drivers of growth and resilience. This thesis
advocates for policies that prioritize human development and quality of life for all residents,
regardless of demographic shifts in volume, aging, geographical distribution, or societal
behaviours. In the context of the growing adoption of Business Intelligence (BI) solutions
worldwide, this project explores the development and implementation of a BI system using
Power BI. Data from two distinctsources were extracted to feed into the data system, enabling
the construction of a comprehensive dashboard. The dashboard incorporates analyses related
to the resident and immigrant populations, employment and unemployment trends, as well
as economic factors such as business creation and dissolution, and trade flows, including
imports and exports. By leveraging these insights, the project aims to deliver a powerful tool
for data-driven decision-making and to enhance understanding of the interplay between
demographic and economic dynamics.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Business Intelligence Data Visualization Portugal Demography Economy SDG 4 - Quality education SDG 8 - Decent work and economic growth SDG 11 - Sustainable cities and communities
