Indoor location-based analytics systems: Portuguese market compettive assessment and entry procing strategy of BIPs' technology in Sonae Sierra Shopping malls stores

This project attempts to provide an in-depth competitive assessment of the Portuguese indoor location-based analytics market, and to elaborate an entry-pricing strategy for Business Intelligence Positioning System (BIPS) implementation in Portuguese shopping centre stores. The role of industry forces and company’s organizational resources platform to sustain company’s competitive advantage was explored. A customer value-based pricing approach was adopted to assess BIPS value to retailers and maximize Sonae Sierra profitability. The exploratory quantitative research found that there is a market opportunity to explore every store area types with tailored proposals, and to set higher-than-tested membership fees to allow a rapid ROI, concluding there are propitious conditions for Sierra to succeed in BIPS store’s business model in Portugal.

Escolha de indicadores para um relatório

This dissertation is aimed at helping organizations that implemented a Business Intelligence (BI) system without documenting to identify the reasons for the indicators choice either in the conception phase of the project or other. The example taken to present the methodology is a fictitious case study of an organization named BestBread. The aim of this dissertation is to demonstrate not only the necessary indicators in a report but also to describe why they are needed through a business goal representation. This dissertation approach focus mainly in using two methodologies, a simplified notation of the Business Intelligence model (BIM) and a systematic approach that aims to justify BI indicators through modelling report goals. This approach provides guidance to organizations that already implemented a BI tool by presenting a method to compare intuitive and systematic selection of indicators with the BI system existing indicators. The approach is applicable to define in a report its significant indicators. The steps needed to be executed are the following: 1- Model business goals; 2- Select indicators through an intuitive perspective; 3- Verify the indicators existence identified in the intuitive perspective; 4- Select indicators through a systematic perspective; 5- Verify the indicators existence identified in the systematic perspective; 6- Make a global comparison. The dissertation approach allowed an easier way to identify and explain the purpose of indicators to be used in a report. Also, the methodology presented could help the BI deployment phase to be quicker since users would be able to visualise through the representations the evaluation that the indicators could evoke in their business goals. Therefore, it could improve the use of the BI tool, its acceptance and maybe even users’ satisfaction with the tool.

How small accounting firms can compete in an environment in which the big four are getting bigger

This paper sets out to determine how small accounting firms can compete in the United States in the early 21st century. The first chapter identifies the central goal of the paper: namely, to use existing literature and market data to define a business strategy for Ross & Moncure, Inc., a small accounting firm in the metropolitan Washington area. The second chapter is a literature review, and in it the author finds that large accounting firms are advantaged in terms of reputation, ability to diversify, and ability to retain employees, but are disadvantaged in their ability to form longstanding successful relationships with clients. In the third chapter, the author explores the relationship between the Big Four firms and their employees. The goal of this chapter is to determine how small accounting firms can compete for top talent in the HR market, and the author finds that this can be done by offering faster career progression and more client interaction. The fourth chapter looks at the market for accounting services in the United States, exploring the different options that consumers have to meet their accounting needs. It is found in this chapter that big and small accounting firms tend to compete for clients of different profiles. In the fifth chapter, the author uses proprietary company data to explore the composition, existing strategy and culture of Ross & Moncure. In the sixth chapter, all of the previous chapters come together to formulate a strategy and plan for action for Ross & Moncure: specifically, that the firm should further cultivate networks and relationships, and should create a fulfilling professional environment by increasing client-employee interaction, encouraging external education, and allowing employees to take on many different projects

Fast Geodesic Active Fields for Image Registration Based on Splitting and Augmented Lagrangian Approaches.

In this paper, we present an efficient numerical scheme for the recently introduced geodesic active fields (GAF) framework for geometric image registration. This framework considers the registration task as a weighted minimal surface problem. Hence, the data-term and the regularization-term are combined through multiplication in a single, parametrization invariant and geometric cost functional. The multiplicative coupling provides an intrinsic, spatially varying and data-dependent tuning of the regularization strength, and the parametrization invariance allows working with images of nonflat geometry, generally defined on any smoothly parametrizable manifold. The resulting energy-minimizing flow, however, has poor numerical properties. Here, we provide an efficient numerical scheme that uses a splitting approach; data and regularity terms are optimized over two distinct deformation fields that are constrained to be equal via an augmented Lagrangian approach. Our approach is more flexible than standard Gaussian regularization, since one can interpolate freely between isotropic Gaussian and anisotropic TV-like smoothing. In this paper, we compare the geodesic active fields method with the popular Demons method and three more recent state-of-the-art algorithms: NL-optical flow, MRF image registration, and landmark-enhanced large displacement optical flow. Thus, we can show the advantages of the proposed FastGAF method. It compares favorably against Demons, both in terms of registration speed and quality. Over the range of example applications, it also consistently produces results not far from more dedicated state-of-the-art methods, illustrating the flexibility of the proposed framework.

Sélection de modèle d'imputation à partir de modèles bayésiens hiérarchiques linéaires multivariés

Les logiciels utilisés sont Splus et R.

Analyse géographique des investissements internationaux de la China National Petroleum Corporation

Ce mémoire propose une analyse de l’expansion internationale de la China National Petroleum Corporation (CNPC) et des impacts de cette expansion sur la sécurité énergétique de la Chine. Dans le cadre de cette recherche, l’approvisionnement énergétique d’un pays est jugé sécuritaire lorsqu’une quantité suffisante de ressources nécessaires pour combler sa demande en énergie sont présentes, disponibles et accessibles et que son approvisionnement en services énergétiques demeure fiable et abordable. La recherche comporte quatre volets. Le premier volet porte sur les étapes de la restructuration de l’industrie pétrolière chinoise depuis 1949. Celle-ci est analysée au travers des changements dans les modes de gestion des compagnies pétrolières nationales et dans leurs relations avec le gouvernement chinois. Le deuxième volet traite de la diversification et des nouvelles spécialisations de CNPC. Ces aspects sont étudiés dans le cadre d’une analyse du pourcentage de ses actifs dans chaque segment industriel (aval, intermédiaire et amont) obtenus grâce à ses rapports annuels. Le troisième volet aborde la répartition géographique des activités de la compagnie que l’on étudie à l’aide d’une analyse approfondie de près de 150 investissements, acquisitions et contrats réalisés à l’étranger entre 1992 et 2014. Le quatrième volet aborde les impacts des investissements à l’étranger de la compagnie sur la sécurité énergétique de la Chine. Ces impacts sont mesurés par l’entremise d’une analyse des flux pétroliers internationaux vers la Chine que l’on compare à la production de CNPC par pays. Ce mémoire permet de déterminer que l’expansion internationale de CNPC sert d’abord et avant tout les intérêts économiques de la compagnie. Ce sont surtout ses investissements dans la construction d’infrastructures de transport (oléoducs, gazoducs ainsi que les usines et terminaux de liquéfaction de gaz naturel liquéfié) qui apportent des bénéfices directs à la sécurité énergétique de la Chine. La contribution des investissements dans les autres secteurs est beaucoup moins systématique et dépend largement de la période au cours de laquelle ils ont été effectués.

Análisis de las tensiones geopolíticas entre Kirguistán y Uzbekistán por el Valle de Fergana y sus recursos energéticos durante el periodo 2001-2010

Las tensiones geopolíticas entre Kirguistán y Uzbekistán por el Valle de Fergana durante el periodo 2001-2010 a partir de un análisis histórico de la formación de la población y la influencia de los diferentes imperios en la región. Adicionalmente, los aspectos relativos a la importancia de los recursos energéticos en el Valle de Fergana como la configuración de las tensiones generadas entre estos dos países, haciendo énfasis en el conflicto étnico latente que se ha generado en la zona. De se utilizarán la teoría constructivista de Alexander Wendt y la teoría de la geopolítica de Yves Lacoste.

PhD Students’ Research Group Networks: a Qualitative Approach

This article examines the networks within the research groups where Spanish PhD students are pursuing their doctorate. Capó et al. (2007) used quantitative data to predict PhD students’ publishing performance from their background, attitudes, supervisors’ performance and research group networks. Variables related to the research group network had a negligible explanatory power on student performance once the remaining variables had been accounted for. In this article, a qualitative follow up of the same students is carried out using extreme case sampling and indepth interviews. The qualitative research shows networking as important for students. Out of the 115 aspects that students mention in the interviews as relevant to publishing in the qualitative research, 92 have to do with their supervisors, their research group or their network as a whole. Similarly, out of the 50 hindrances mentioned, 20 have to do with the networks or relations. The most commonly mentioned network-related topics are research group members pushing PhD students to publish, meeting researchers outside the research group, existence of other PhD students in the group, help with the PhD from group members, supervisor’s interest in the thesis, the possibility of discussing with experts on the PhD’s topic and frequent contact with the supervisor and research group members. Some of these characteristics were not, however, measured in the conventional quantitative social network survey

BI nas organizações

O Business Intelligence é uma solução que suporta o processo de tomada de decisão numa organização, tendo como principais utilizadores os administradores, gestores de topo e directores, no fundo, utilizadores com poder de decisão. Este conjunto de ferramentas (BI) tem a capacidade de extrair, transformar/processar e carregar grandes volumes de dados provenientes das mais variadas fontes, sejam elas internas ou externas à organização. Além desta capacidade, o BI tem também a capacidade analítica dos dados providenciando aos utilizadores informação preciosa para a tomada de decisão. Considerando o tempo como um factor influenciador e diferenciador entre organizações, a escolha e a correcta implementação de uma solução de BI é essencial para o sucesso de uma organização. No entanto, muitas organizações implementam projectos com sucesso ao nível técnico, mas não conseguem obter os resultados esperados. Este facto ocorre quando se separa a componente tecnológica da cultura organizacional e das pessoas. É importante englobar na cultura da organização que a informação é um recurso estratégico para a obtenção dos objectivos. Este trabalho tem como objectivo avaliar soluções de BI e a forma como estas estão implementadas, procurando fornecer informações essenciais para o sucesso nas organizações. Para suportar a argumentação, realiza-se, nesta dissertação, um estudo a organizações Portuguesas líderes na área das telecomunicações. Este estudo baseou-se na análise das respostas a um questionário colocado a pessoas chave com a finalidade de avaliar a situação actual do BI nas organizações procurando salientar o real valor que este traz; de que forma é utilizado; se está bem implementado e principalmente se tem contribuído no suporte aos processos de tomada de decisão. O estudo ficou, porém, limitado devido ao feedback estatisticamente insuficiente, pelo que as conclusões da presente dissertação são meramente exploratórias, de natureza qualitativa e necessariamente prudentes nas generalizações.

Diseño de un sistema de información, bajo un enfoque de inteligencia de negocios, para el proceso de toma de decisiones. Caso: Empresa Diafoot

Los sistemas de inteligencia de negocios asisten y potencian los procesos de toma de decisiones, a través de los datos acumulados que las empresas disponen y cuya explotación inadecuada genera inconsistencias, múltiples versiones de la verdad y un desperdicio de tiempo y recursos. El presente trabajo de investigación plantea el diseño de un sistema de información, bajo el enfoque de inteligencia de negocios, el cual mide, dimensiona e interrelaciona los datos que Diafoot dispone y requiere convertir en información de utilidad para medir el desempeño de la empresa de acuerdo a sus objetivos organizacionales. El diseño planteado está plasmado en un modelo de información, elaborado en base a datos que provienen del sistema administrativo, contable y de punto de venta que Diafoot utiliza en la actualidad. Mediante el análisis y diagnóstico de la madurez tecnológica y cultural de la empresa Diafoot se han analizado las particularidades del uso de herramientas tecnológicas y de los procesos de toma de decisiones existentes para así determinarse el nivel de madurez de la empresa en base al modelo de madurez de analíticas de datos de la empresa TDWI. El diseño del sistema de información que se propone en el presente trabajo de investigación tiene como principal objetivo contribuir a la medición de cumplimiento de los objetivos organizacionales, en base a indicadores de desempeño generados a partir de los valores o indicadores de medida de negocio que Diafoot almacena en sus fuentes de información y que reflejan la operatividad diaria de la empresa. Finalmente, se han establecido sugerencias o consideraciones para aplicar el diseño propuesto a través de la implementación de un sistema de analítica de datos o Business Intelligence, manejándose buenas prácticas en la explotación adecuada de datos, en la medición de mejoras alcanzadas, y seleccionando la herramienta adecuada entre las alternativas y soluciones existentes en el mercado considerando el presupuesto y el alcance del proyecto.

Evaluation of two soil carbon models using two Kenyan long term experimental datasets

RothC and Century are two of the most widely used soil organic matter (SOM) models. However there are few examples of specific parameterisation of these models for environmental conditions in East Africa. The aim of this study was therefore, to evaluate the ability of RothC and the Century to estimate changes in soil organic carbon (SOC) resulting from varying land use/management practices for the climate and soil conditions found in Kenya. The study used climate, soils and crop data from a long term experiment (1976-2001) carried out at The Kabete site at The Kenya National Agricultural Research Laboratories (NARL, located in a semi-humid region) and data from a 13 year experiment carried out in Machang'a (Embu District, located in a semi-arid region). The NARL experiment included various fertiliser (0, 60 and 120 kg of N and P2O5 ha(-1)), farmyard manure (FYM - 5 and 10 t ha(-1)) and plant residue treatments, in a variety of combinations. The Machang'a experiment involved a fertiliser (51 kg N ha(-1)) and a FYM (0, 5 and 10 t ha(-1)) treatment with both monocropping and intercropping. At Kabete both models showed a fair to good fit to measured data, although Century simulations for treatments with high levels of FYM were better than those without. At the Machang'a site with monocrops, both models showed a fair to good fit to measured data for all treatments. However, the fit of both models (especially RothC) to measured data for intercropping treatments at Machang'a was much poorer. Further model development for intercrop systems is recommended. Both models can be useful tools in soil C Predictions, provided time series of measured soil C and crop production data are available for validating model performance against local or regional agricultural crops. (C) 2007 Elsevier B.V. All rights reserved.

Is agriculture the engine of growth?

We seek to address formally the question raised by Gardner (2003) in his Elmhirst lecture as to the direction of causality between agricultural value added per worker and Gross Domestic Product (GDP) per capita. Using the Granger causality test in the panel data analyzed by Gardner for 85 countries, we find overwhelming evidence that supports the conclusion that agricultural value added is the causal variable in developing countries, while the direction of causality in developed countries is unclear. We also examine further the use of the Granger causality test in integrated data and provide evidence that the performance of the test can be increased in small samples through the use of the bootstrap.

Liquid ultraviolet matrix-assisted laser desorption/ionization - mass spectrometry for automated proteomic analysis

We have combined several key sample preparation steps for the use of a liquid matrix system to provide high analytical sensitivity in automated ultraviolet -- matrix-assisted laser desorption/ionisation -- mass spectrometry (UV-MALDI-MS). This new sample preparation protocol employs a matrix-mixture which is based on the glycerol matrix-mixture described by Sze et al. The low-femtomole sensitivity that is achievable with this new preparation protocol enables proteomic analysis of protein digests comparable to solid-state matrix systems. For automated data acquisition and analysis, the MALDI performance of this liquid matrix surpasses the conventional solid-state MALDI matrices. Besides the inherent general advantages of liquid samples for automated sample preparation and data acquisition the use of the presented liquid matrix significantly reduces the extent of unspecific ion signals in peptide mass fingerprints compared to typically used solid matrices, such as 2,5-dihydroxybenzoic acid (DHB) or alpha-cyano-hydroxycinnamic acid (CHCA). In particular, matrix and low-mass ion signals and ion signals resulting from cation adduct formation are dramatically reduced. Consequently, the confidence level of protein identification by peptide mass mapping of in-solution and in-gel digests is generally higher.

Liquid ultraviolet matrix-assisted laser desorption/ionization mass spectrometry for automated proteomic analysis

We have combined several key sample preparation steps for the use of a liquid matrix system to provide high analytical sensitivity in automated ultraviolet - matrix-assisted laser desorption/ ionisation - mass spectrometry (UV-MALDI-MS). This new sample preparation protocol employs a matrix-mixture which is based on the glycerol matrix-mixture described by Sze et al. U. Am. Soc. Mass Spectrom. 1998, 9, 166-174). The low-ferntomole sensitivity that is achievable with this new preparation protocol enables proteomic analysis of protein digests comparable to solid-state matrix systems. For automated data acquisition and analysis, the MALDI performance of this liquid matrix surpasses the conventional solid-state MALDI matrices. Besides the inherent general advantages of liquid samples for automated sample preparation and data acquisition the use of the presented liquid matrix significantly reduces the extent of unspecific ion signals in peptide mass fingerprints compared to typically used solid matrices, such as 2,5-dihydrox-ybenzoic acid (DHB) or alpha-cyano-hydroxycinnamic acid (CHCA). In particular, matrix and lowmass ion signals and ion signals resulting from cation adduct formation are dramatically reduced. Consequently, the confidence level of protein identification by peptide mass mapping of in-solution and in-gel digests is generally higher.