Business intelligence to improve the quality of local government services : case-study in a local government Town Hall

The use of business intelligence (BI) systems by organizations is increasingly considered as an asset, which goal is to provide access to information in a timely manner in order to support the decision-making process. However, in specific cases such as local government organizations, there are very specific challenges. Some of them like privacy rights and applicable law compliance must be carefully observed, making the necessary adaptations of these BI solutions. The developed solution brings some important contributions and represents some advances in the eGovernment context applied to local governments where the information is normally used/stored are not normalized and pre-defined. Being this a big barrier to development of this type of solutions, the developed architecture is prepared to improve the data quality and avoid this type of mistakes. This paper presents an architecture of a BI platform on a local government organization, geared towards the improvement of citizen offered services quality and efficiency maximization, thus contributing for cost reduction to the taxpayer.(undefined

A decade of Portuguese research in e-government: Evolution, current standing, and ways forward

In this paper, we present an investigation of the Portuguese research on e-government. Bibliometric techniques are used to explore all the documents published by researchers affiliated to Portuguese institutions from 2005 to 2014 and listed in the Scopus® database. Research production, impact, source types, language used, subject areas, topics, scopes, methods, authors, institutions, networks, and international cooperation are analysed and discussed. We conclude that so that Portuguese research on e-government can evolve, more researchers should be involved, international cooperation should be developed, and more attention should be given to the study of the reasons behind the very good results of the country in the provision of e-government services, as measured by the international rankings. By establishing the evolution and current standing of e-government research in Portugal and exploring the ways forward, our conclusions may prove useful to e-government researchers, research managers, and research policy makers. © Copyright 2016 Inderscience Enterprises Ltd

Análise de dados em business intelligence dos últimos anos letivos do Ensino Superior

Mestrado Bolonha em Métodos Quantitativos para a Decisão Económica e EmpresarialO século XXI é assinalado pelas constantes mudanças na sociedade nas mais diversas áreas da atividade humana. Uma das principais transformações sentidas está associada ao crescente volume de dados disponibilizados. Nesta nova sociedade, denominada de Sociedade de Informação, a informação é vista como uma necessidade, mas também como um recurso para alcançar conhecimento. Porém, o tratamento de grandes quantidades de dados nem sempre é decifrável. Torna-se assim necessário recorrer a mecanismos que permitam processar estes grandes conjuntos de dados de forma que sejam compreendidos e, por conseguinte, forneçam informação útil, nomeadamente para a implementação de estratégias que aumentem a eficácia das organizações no seu meio envolvente. Circulando cada vez mais informação e de acesso cada vez mais fácil, de dia para dia as organizações nos mais diversos setores atuam num ambiente mais concorrencial e inovador – onde o setor da educação não é exceção. Torna-se assim essencial que as Instituições de Ensino Superior (IES) se munam de novas ferramentas e tecnologias que lhes permitam enfrentar os correntes desafios propostos com a nova realidade em que estão inseridas. É neste sentido que o presente trabalho tem como principal objetivo, através de uma ferramenta de Business Intelligence (BI), caracterizar o Ensino Superior em Portugal nos últimos anos letivos. Assim, recorreu-se ao Microsoft Power BI para desenvolver dashboards que permitem alcançar os objetivos propostos e contribuem de forma positiva para a tomada de decisões das IES. Desta forma, a metodologia CRISP-DM seguida permite desenvolver um relatório onde a informação disponibilizada se encontra percetível em painéis visualmente apelativos, de maneira a contribuir para o melhoramento das decisões dos diferentes Estabelecimentos de Ensino e, por conseguinte, beneficiar de vantagens competitivas perante os restantes e principais rivais.The 21st century is marked by the constant changes in society in the most diverse areas of human activity. One of the major transformations is associated with the increasing volume of data available. In this new society, called the Information Society, information is seen as a necessity and a resource to achieve knowledge. However, the processing of large amounts of data is not always decipherable. It becomes necessary to use mechanisms that help to process these large data sets in such a way that they are understood and therefore provide useful information for implementing strategies that increase organizations' effectiveness in their environment. When faced with increased information and increasingly easier access, day-by-day organizations in the most diverse sectors operate in a more competitive and innovative ‘environment’ – the education sector is no exception. Therefore, it becomes essential that Higher Education Institutions (HEIs) have new tools and technologies that allow them to face the current challenges that come with the new reality in which they are inserted. In this sense, the present work has as its primary objective a Business Intelligence (BI) tool, characterizing higher education in Portugal in recent school years. Thus, Microsoft Power BI was used to develop dashboards that would achieve the proposed objectives and contribute positively to the decision-making of the HEIs. In this way, the CRISP-DM methodology followed allows the development of a report, where the information provided is noticeable in visually appealing panels, to contribute to the improvement of the decision of the different Educational Establishments and therefore benefit from competitive advantages over the remaining and main rivals.info:eu-repo/semantics/publishedVersio