Submitted by Renata Lopes (renatasil82@gmail.com) on 2016-10-13T15:33:56Z No. of bitstreams: 1 rosaliviagoncalvesmontenegro.pdf: 1198338 bytes, checksum: d89102c7afac67d168fb89d581f5cd22 (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2016-10-22T12:57:38Z (GMT) No. of bitstreams: 1 rosaliviagoncalvesmontenegro.pdf: 1198338 bytes, checksum: d89102c7afac67d168fb89d581f5cd22 (MD5) / Made available in DSpace on 2016-10-22T12:57:38Z (GMT). No. of bitstreams: 1 rosaliviagoncalvesmontenegro.pdf: 1198338 bytes, checksum: d89102c7afac67d168fb89d581f5cd22 (MD5) Previous issue date: 2008-12-18 / O objetivo principal do trabalho é investigar a influência de externalidades de diversificação e de especialização sobre a atividade inovadora de microrregiões de estado de São Paulo, no período compreendido entre 1996-2003. Além disso, outros fatores determinantes da inovação são também considerados, como a capacidade de realização de P&D, o nível de escolaridade e a defasagem temporal da inovação. As patentes per capita são usadas na pesquisa como proxy para a avaliação da atividade inovadora, ou seja, medem a capacidade tecnológica da microrregião. A base de dados consiste na utilização de microdados provenientes do Instituto Brasileiro de Geografia e Estatística (IBGE) e dos dados de depósitos de patentes do Instituto Nacional de Propriedade Industrial (INPI). A metodologia aplicada aborda a Análise Exploratória de Dados Espaciais (AEDE) e modelos de regressão espacial com dados em painel. Ambas as técnicas permitiram um acompanhamento espacial e temporal do progresso do sistema regional de inovação em São Paulo. Os resultados revelaram que a especialização produtiva das microrregiões é fator determinante para seu desempenho inovador. Alguns efeitos também se mostram importantes como a escolaridade, as inovações realizadas no período anterior, os transbordamentos de conhecimentos e, em menor grau, as externalidades de diversificação. / The aim of the present work is to assess the extent to which the degree of specialization or diversification externalities may affect the innovative performance in a particular microregion. Additionally, the influence of other regional factors on the innovative output is examined, such as regional R&D capacity, schooling of local population and the innovative tradition of the microregion. The analysis is based on a database of 63 microregions of the state of São Paulo from 1996 to 2003 that was merged by micro-data mainly from Yearly Industrial Survey and Brazilian Patent Office. These data were analyzed by means of Exploratory Analysis of Spatial Data and panel data regression models with spatial dependence. Both techniques reveal the spatial and temporal evolution of the regional innovation system of the state of São Paulo. The main result shows that microregion’s innovative performance seems to be affected mainly by the specialization externalities rather than diversification externalities. Other results emphasize the positive influence played by the schooling of local population, the technological knwoledge spillovers, and the innovative tradition of the microregion on its innovative output.

In this thesis, we consider several statistical techniques applicable to claim frequency models of an MTPL portfolio with a focus on overdispersion. The practical part of the work is focused on the application and comparison of the models on real data represented by an MTPL portfolio. The comparison is presented by the results of goodness-of-fit measures. Furthermore, the predictive power of selected models is tested for the given dataset, using the simulation method. Hence, this thesis provides a combination of the analysis of goodness-of-fit results and the predictive power of the models.

Le BIM est actuellement en pleine explosion. Il s'appuie sur la progression des outils informatiques. Toutefois, la gestion de l'information au sein d'un projet d'infrastructure nécessite également l'utilisation de méthodologies et de concepts spécifiques comme les notions de « niveau de détail », de « niveau de développement » ou de « niveau d'abstraction ». Ils servent à décrire l'information pertinente à échanger entre acteurs, selon des objectifs de modélisation, en vue de répondre à des exigences identifiées. Dans le contexte spécifique des projets d'infrastructures, ces outils ne sont mal définis, insuffisants et amènent parfois à des modélisations contradictoires.Dans une optique de progression vers une conception en ingénierie concourante, notre travail de recherche apporte une contribution en deux parties. En se basant sur les principes de l'ingénierie système, la première partie consiste en une méthodologie d'identification des exigences à satisfaire et de l'information pertinente pour y répondre et contrôler cette réponse. La seconde partie décrit le modèle conceptuel de données. Il traite de la structuration des objets qui modélisent le projet en lien avec la structuration des exigences. Cette proposition s'accompagne d'une redéfinition de plusieurs types de niveaux existants (de détail, de développement, d'information, d'abstraction, etc.). Ces éléments sont éprouvés sur un projet d'autoroute en milieu urbain.Les échanges d'informations sont au cœur du BIM. Leur précision ainsi que la qualité des informations échangées participent à la réussite tant technique que managériale du projet.Notre proposition méthodologique permet de faire évoluer les pratiques et le regard que le secteur de la construction porte sur l'information qu'il crée. Elle participe également à la numérisation du secteur de la construction / However, the information management within an infrastructure project (road, rail, airport and other civil engineering works) also requires the use of specific methodologies and concepts like the concepts of ”level of detail” , ”level of development” or ”level of abstraction”. They are used to describe the relevant information that have to be exchanged between stakeholders, according to the modeling objectives in order to meet the project requirements. In the specific context of infrastructure projects, these tools are poorly defined, insufficient and sometimes bring to contradictory models.With a view to progress towards concurrent engineering design, our research is a contribution in two parts. Based on the principles of systems engineering, the first part is about to provide a methodology for requirements and relevant information identification to respond and control this response. The second part describes the project conceptual data model : it deals with the structure of the objects that model in connection with the requirements identification. This proposal is accompanied by a redefinition of several types of existing levels (detail, development, information, abstraction, etc.). These inputs are tested on a project of urban freeway in an industrial context.The exchange of information is at the center of BIM. The accuracy and quality of exchanged information participate in both technical and managerial project success. Our proposed methodology allows to change practices and the vision that the construction sector looks forward to the information it creates. It also participates in the digitalization of the construction sector

Diploma thesis is focused on the implementation of customer relationship management and Business Intelligence solutions in the small business company using open source technologies. Main objective of the thesis is implementation of CRM and Business Intelligence and evaluation of usability of these solutions. Thesis describes basic elements of these solutions. For the setting up metrics is using Balanced Scorecard. In the next part of this thesis is designed the whole Business Intelligence including the creating of data model and OLAP cubes using open source technologies. Theoretical background is described in the first part of thesis. There are defined basic terms from scope of strategic management using Balanced Scorecard, CRM and Business Intelligence. Thesis demonstrates using and creation of the whole Business Intelligence solution. There are also evaluated difficulties in implementation of these products. In thesis is designed data warehouse and the whole solution including reports.

This thesis follows up two views on the data migration project. First of all there is a basic description of data migration within MBI model. This model is created by information technology department on the University of Economy in Prague. The thesis fills in this model data migration task and related objects as task roles or documents. In the next part the thesis focus on concrete project of implementation of core banking system. More detail is dedicated to the data migration part of this project. First there are described principles of work in data migration and next the thesis aims on data model of data migration which is used as a documentary tool. This model is evaluated from the benefits and risks view for data migration and next there are described creation and updating of it. These activities are provided mostly by macros in VBA script language, which are created here for these purposes. In the end some options of model extension are designed and evaluated.

Information is the currency of our world. Making right decisions requires having reliable, comprehensive and thorough information still at hand. The tools that can provide it? Information systems. However, the purpose of today's information systems is more than to just collect and store information: they need to integrate numerous data sources (both internal and external), identify essential pieces of information and set them apart from the rest, and provide the people relying on them a clear picture of the situation. In short: they should offer unified, user-friendly, well-structured and comprehensive view of business reality. This paper focuses on the first stage of an information system design. Concerned primarily with the business analytical phases of an IT project, it presents an insight into the process of business reality exploration and description through conceptual data model and architecture vision articulation.

Diploma thesis aim to create Management Reporting application. First part focuses to analysis of various Business Intelligence solution and choosing the best one regarding to functional, financial features and availability. Main part is aimed to preparation of data, designing data model, overview of used functions, metrics and creating of reporting application. In the end of thesis is assessment of the application and induction to real business conditions.

The master’s thesis is focused on the assessment of the current state of the selected parts of the information system Zenit at company Nuvia a.s. and the proposal of their modernization. In individual parts of the thesis, there is defined theoretical basis, the assessment of the current state and the proposal of innovation of the current state.

The work is focused on the issues associated with the use of geographical information systems in transport. Of the various types of transport was chosen railway transport for its great potential particularly in the field of freight transport, but also because it is a relatively environmentally friendly. This fact is also well known to the leaders of the European Union, who are engaged in the field of transportation. The European Commission in its documents (green and white papers) gives accent on the development of railway transportation and combined transportation, because this is the path to secure the sustainable development of transport. In the course of this study the current state of information systems several problems were discovered. One problem is the fragmentation of the partial information systems and the associated strong administrative burden. This situation stems both from the incomplete legislative framework, but also from the lack of the concept and awareness of the managerial positions. This work deals with other selected issues. The first is the area of designing the data model topology track that satisfies the requirements set out in legislation, both European and national level. The data model was designed with regard to a sufficient degree of variability. The work contains a section dedicated to the implementation of the data model and solution design of problems associated with visualization arcs. Another area is the collection of geographic data. Data collection is one of the key tasks in the implementation and maintenance of the information system. The acquisition of the geographical data can be lengthy and costly. We therefore suggest how to use inertial measurement in acquisition of topological data. This method could speed up the entire process of data capturing with sufficient precision and reduce the costs to the acceptable range.

From 2006 to 2016, an estimated average of 50% of big data analytics and decision support projects failed to deliver acceptable and actionable outputs to business users. The resulting management inefficiency came with high cost, and wasted investments estimated at $2.7 trillion in 2016 for companies in the United States. The purpose of this quantitative descriptive study was to examine the data model of a typical data analytics project in a big data environment for opportunities to improve the information created for management problem-solving. The research questions focused on finding artifacts within enterprise data to model key business scenarios for management action. The foundations of the study were information and decision sciences theories, especially information entropy and high-dimensional utility theories. The design-based research in a nonexperimental format was used to examine the data model for the functional forms that mapped the available data to the conceptual formulation of the management problem by combining ontology learning, data engineering, and analytic formulation methodologies. Semantic, symbolic, and dimensional extensions emerged as key functional forms of analytic extension of the data model. The data-modeling approach was applied to 15-terabyte secondary data set from a multinational medical product distribution company with profit growth problem. The extended data model simplified the composition of acceptable analytic insights, the derivation of business solutions, and the design of programs to address the ill-defined management problem. The implication for positive social change was the potential for overall improvement in management efficiency and increasing participation in advocacy and sponsorship of social initiatives.