Estudio de patrones de interacción entre los estudiantes y la Plataforma de Tele-Enseñanza en la UPM

Vivimos en una sociedad en la que la información ha adquirido una vital importancia. El uso de Internet y el desarrollo de nuevos sistemas de la información han generado un ferviente interés tanto de empresas como de instituciones en la búsqueda de nuevos patrones que les proporcione la clave del éxito. La Analítica de Negocio reúne un conjunto de herramientas, estrategias y técnicas orientadas a la explotación de la información con el objetivo de crear conocimiento útil dentro de un marco de trabajo y facilitar la optimización de los recursos tanto de empresas como de instituciones. El presente proyecto se enmarca en lo que se conoce como Gestión Educativa. Se aplicará una arquitectura y modelo de trabajo similar a lo que se ha venido haciendo en los últimos años en el entorno empresarial con la Inteligencia de Negocio. Con esta variante, se pretende mejorar la calidad de la enseñanza, agilizar las decisiones dentro de la institución académica, fortalecer las capacidades del cuerpo docente y en definitiva favorecer el aprendizaje del alumnado. Para lograr el objetivo se ha decidido seguir las etapas del Knowledge Discovery in Databases (KDD), una de las metodologías más conocidas dentro de la Inteligencia de Negocio, que describe el procedimiento que va desde la selección de la información y su carga en sistemas de almacenamiento, hasta la aplicación de técnicas de minería de datos para la obtención nuevo conocimiento. Los estudios se realizan a partir de la información de la activad de los usuarios dentro la plataforma de Tele-Enseñanza de la Universidad Politécnica de Madrid (Moodle). Se desarrollan trabajos de extracción y preprocesado de la base de datos en crudo y se aplican técnicas de minería de datos. En la aplicación de técnicas de minería de datos, uno de los factores más importantes a tener en cuenta es el tipo de información que se va a tratar. Por este motivo, se trabaja con la Minería de Datos Educativa, en inglés, Educational Data Mining (EDM) que consiste en la aplicación de técnicas de minería optimizadas para la información que se genera en entornos educativos. Dentro de las posibilidades que ofrece el EDM, se ha decidido centrar los estudios en lo que se conoce como analítica predictiva. El objetivo fundamental es conocer la influencia que tienen las interacciones alumno-plataforma en las calificaciones finales y descubrir nuevas reglas que describan comportamientos que faciliten al profesorado discriminar si un estudiante va a aprobar o suspender la asignatura, de tal forma que se puedan tomar medidas que mejoren su rendimiento. Toda la información tratada en el presente proyecto ha sido previamente anonimizada para evitar cualquier tipo de intromisión que atente contra la privacidad de los elementos participantes en el estudio. ABSTRACT. We live in a society dominated by data. The use of the Internet accompanied by developments in information systems has generated a sustained interest among companies and institutions to discover new patterns to succeed in their business ventures. Business Analytics (BA) combines tools, strategies and techniques focused on exploiting the available information, to optimize resources and create useful insight. The current project is framed under Educational Management. A Business Intelligence (BI) architecture and business models taught up to date will be applied with the aim to accelerate the decision-making in academic institutions, strengthen teacher´s skills and ultimately improve the quality of teaching and learning. The best way to achieve this is to follow the Knowledge Discovery in Databases (KDD), one of the best-known methodologies in B.I. This process describes data preparation, selection, and cleansing through to the application of purely Data Mining Techniques in order to incorporate prior knowledge on data sets and interpret accurate solutions from the observed results. The studies will be performed using the information extracted from the Universidad Politécnica de Madrid Learning Management System (LMS), Moodle. The stored data is based on the user-platform interaction. The raw data will be extracted and pre-processed and afterwards, Data Mining Techniques will be applied. One of the crucial factors in the application of Data Mining Techniques is the kind of information that will be processed. For this reason, a new Data Mining perspective will be taken, called Educational Data Mining (EDM). EDM consists of the application of Data Mining Techniques but optimized for the raw data generated by the educational environment. Within EDM, we have decided to drive our research on what is called Predictive Analysis. The main purpose is to understand the influence of the user-platform interactions in the final grades of students and discover new patterns that explain their behaviours. This could allow teachers to intervene ahead of a student passing or failing, in such a way an action could be taken to improve the student performance. All the information processed has been previously anonymized to avoid the invasion of privacy.

Novas tendências, o big data: deteção de fraudes e transações no comércio local: SAF-T com tecnologia big data

Dissertação apresentada à Escola Superior de Tecnologia do Instituto Politécnico de Castelo Branco para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Desenvolvimento de Software e Sistemas Interactivos, realizada sob a orientação científica da categoria profissional do orientador Doutor Eurico Ribeiro Lopes, do Instituto Politécnico de Castelo Branco.

A COMUNICAÇÃO COMO UM PROCESSO DE INTELIGÊNCIA EMPRESARIAL EM PLANEJAMENTO ESTRATÉGICO

Esta tese trata da comunicação como instrumento de inteligência empresarial numa instituição de ensino superior. Ela pretende demonstrar que a comunicação agrega vantagem competitiva às organizações que atuam no mercado educacional. O presente trabalho se fundamenta em referenciais teóricos das ciências da Comunicação e de Planejamento Estratégico, e seus procedimentos metodológicos incluem, além de revisão bibliográfica extensiva e análise de documentos, a técnica da observação participante, com o acompanhamento das atividades do grupo de trabalho intitulado Comunicação e Integração entre os anos 2003 e 2005, que integrava o Planejamento Estratégico da UMESP Universidade Metodista de São Paulo. Ao final do trabalho, buscou-se mapear as condições necessárias para que a comunicação se constitua efetivamente num processo de inteligência empresarial, incorporando-se à gestão estratégica das organizações. Admitimos que a Comunicação Empresarial ainda tem de vencer alguns desafios e que eles, necessariamente, não são fáceis de serem superados. É necessário considerar sempre que a Comunicação Empresarial não flui no vazio, não se realiza à margem das organizações, mas está umbilicalmente associada a um particular sistema de gestão, a uma específica cultura organizacional e que é expressão, portanto, de uma realidade concreta. Para que a Comunicação Empresarial seja assumida como estratégica, essa condição deverá ser favorecida pela gestão, pela cultura e mesmo pela alocação adequada de recursos (humanos, tecnológicos e financeiros), pois sem os quais ela não se realiza. Logo, se estes pressupostos não estiverem devidamente satisfeitos, será prematuro concluir pelo caráter estratégico da Comunicação Empresarial. Mais ainda: a comunicação não será estratégica em função unicamente do trabalho mais ou menos competente dos profissionais de comunicação. Há exigências outras que, infelizmente, fogem ao seu controle. Em resumo, nesse trabalho são analisadas três questões centrais. A primeira delas diz respeito ao conceito de estratégia. A segunda refere-se ao chamado ethos organizacional em que se insere a prática comunicacional. Finalmente, são examinadas as condições básicas para que a comunicação estratégica realmente prevaleça.

Моделирование Многомерных Данных в Системе METAS BI-Platform

Представлено формальное описание многомерной модели данных, реализованной в программном комплексе METAS BI-Platform. В статью включено описание объектов многомерной модели (измерений и множеств измерений и т.д.), их свойств и организации, а также операций, выполняемых над ними. Описаны методы агрегации многомерных данных, позволяющие эффективно агрегировать массивы числовых показателей. Программный комплекс METAS BI-Platform предназначен для многомерного анализа данных, получаемых из гетерогенных источников, и позволяет упростить разработку BI-приложений. Программный комплекс представляет собой многоуровневое приложение с архитектурой «Клиент-сервер». Каждый уровень комплекса соответствует степени абстракции данных. На самом низком уровне расположены драйверы доступа к специфическим физическим источникам данных. Следующий уровень – уровень виртуальной СУБД, позволяющей осуществлять унифицированный доступ к данным, что избавляет от необходимости учитывать специфику конкретных СУБД при разработке BI-приложений. Реализован программный интерфейс комплекса (API). В распоряжение разработчиков предоставляется набор готовых компонентов, которые могут быть использованы при создании BI-приложений. Это позволяет разрабатывать на основе комплекса BI-приложения, отвечающие современным требованиям, предъявляемым к подобным системам.

A retrospective-longitudinal examination of the relationship between apportionment of seat time in community-college algebra courses and student academic performance

During the past decade, there has been a dramatic increase by postsecondary institutions in providing academic programs and course offerings in a multitude of formats and venues (Biemiller, 2009; Kucsera & Zimmaro, 2010; Lang, 2009; Mangan, 2008). Strategies pertaining to reapportionment of course-delivery seat time have been a major facet of these institutional initiatives; most notably, within many open-door 2-year colleges. Often, these enrollment-management decisions are driven by the desire to increase market-share, optimize the usage of finite facility capacity, and contain costs, especially during these economically turbulent times. So, while enrollments have surged to the point where nearly one in three 18-to-24 year-old U.S. undergraduates are community college students (Pew Research Center, 2009), graduation rates, on average, still remain distressingly low (Complete College America, 2011). Among the learning-theory constructs related to seat-time reapportionment efforts is the cognitive phenomenon commonly referred to as the spacing effect, the degree to which learning is enhanced by a series of shorter, separated sessions as opposed to fewer, more massed episodes. This ex post facto study explored whether seat time in a postsecondary developmental-level algebra course is significantly related to: course success; course-enrollment persistence; and, longitudinally, the time to successfully complete a general-education-level mathematics course. Hierarchical logistic regression and discrete-time survival analysis were used to perform a multi-level, multivariable analysis of a student cohort (N = 3,284) enrolled at a large, multi-campus, urban community college. The subjects were retrospectively tracked over a 2-year longitudinal period. The study found that students in long seat-time classes tended to withdraw earlier and more often than did their peers in short seat-time classes (p < .05). Additionally, a model comprised of nine statistically significant covariates (all with p-values less than .01) was constructed. However, no longitudinal seat-time group differences were detected nor was there sufficient statistical evidence to conclude that seat time was predictive of developmental-level course success. A principal aim of this study was to demonstrate—to educational leaders, researchers, and institutional-research/business-intelligence professionals—the advantages and computational practicability of survival analysis, an underused but more powerful way to investigate changes in students over time.

Towards a model for exploring the relationship between managerial decision problems and decision support opportunities

The organisational decision making environment is complex, and decision makers must deal with uncertainty and ambiguity on a continuous basis. Managing and handling decision problems and implementing a solution, requires an understanding of the complexity of the decision domain to the point where the problem and its complexity, as well as the requirements for supporting decision makers, can be described. Research in the Decision Support Systems domain has been extensive over the last thirty years with an emphasis on the development of further technology and better applications on the one hand, and on the other hand, a social approach focusing on understanding what decision making is about and how developers and users should interact. This research project considers a combined approach that endeavours to understand the thinking behind managers’ decision making, as well as their informational and decisional guidance and decision support requirements. This research utilises a cognitive framework, developed in 1985 by Humphreys and Berkeley that juxtaposes the mental processes and ideas of decision problem definition and problem solution that are developed in tandem through cognitive refinement of the problem, based on the analysis and judgement of the decision maker. The framework facilitates the separation of what is essentially a continuous process, into five distinct levels of abstraction of manager’s thinking, and suggests a structure for the underlying cognitive activities. Alter (2004) argues that decision support provides a richer basis than decision support systems, in both practice and research. The constituent literature on decision support, especially in regard to modern high profile systems, including Business Intelligence and Business analytics, can give the impression that all ‘smart’ organisations utilise decision support and data analytics capabilities for all of their key decision making activities. However this empirical investigation indicates a very different reality.

Informationsförvaltning inom en stor organisation : En fallstudie på Trafikverket

Denna studie syftar till att undersöka hur en stor organisation arbetar med förvaltning av information genom att undersöka dess nuvarande informationsförvaltning, samt undersöka eventuella förslag till framtida informationsförvaltning. Vidare syftar studien också till att undersöka hur en stor organisation kan etablera en tydlig styrning, samverkan, hantering och ansvars- och rollfördelning kring informationsförvaltning. Denna studie är kvalitativ, där datainsamlingen sker genom dokumentstudier och intervjuer. Studien bedrivs med abduktion och är en normativ fallstudie då studiens mål är att ge vägledning och föreslå åtgärder till det fall som uppdragsgivaren har bett mig att studera. Fallet i denna studie är ett typiskt fall, då studiens resultat kan vara i intresse för fler än studiens uppdragsgivare, exempelvis organisationer med liknande informationsmiljö. För att samla teori till studien så har jag genomfört litteraturstudier om ämnen som är relevanta för studiens syfte: Informationsförvaltning, Business Intelligence, Data Warehouse och dess arkitektur, samt Business Intelligence Competency Center. Denna studie bidrar med praktiskt kunskapsbidrag, då studien ger svar på praktiska problem. Uppdragsgivaren har haft praktiska problem i och med en icke fungerade informationsförvaltning, och denna studie har bidragit med förslag på framtida informationsförvaltning. Förslaget på framtida informationsförvaltning involverar ett centraliserat Data Warehouse, samt utvecklingen utav en verksamhet som hanterar informationsförvaltning och styrningen kring informationsförvaltningen inom hela organisationen.

Decisions, decisions everywhere (in the open data era).

Abstract: Decision support systems have been widely used for years in companies to gain insights from internal data, thus making successful decisions. Lately, thanks to the increasing availability of open data, these systems are also integrating open data to enrich decision making process with external data. On the other hand, within an open-data scenario, decision support systems can be also useful to decide which data should be opened, not only by considering technical or legal constraints, but other requirements, such as "reusing potential" of data. In this talk, we focus on both issues: (i) open data for decision making, and (ii) decision making for opening data. We will first briefly comment some research problems regarding using open data for decision making. Then, we will give an outline of a novel decision-making approach (based on how open data is being actually used in open-source projects hosted in Github) for supporting open data publication. Bio of the speaker: Jose-Norberto Mazón holds a PhD from the University of Alicante (Spain). He is head of the "Cátedra Telefónica" on Big Data and coordinator of the Computing degree at the University of Alicante. He is also member of the WaKe research group at the University of Alicante. His research work focuses on open data management, data integration and business intelligence within "big data" scenarios, and their application to the tourism domain (smart tourism destinations). He has published his research in international journals, such as Decision Support Systems, Information Sciences, Data & Knowledge Engineering or ACM Transaction on the Web. Finally, he is involved in the open data project in the University of Alicante, including its open data portal at http://datos.ua.es

Analytiikkajärjestelmän käyttöönottoprojekti, kustannukset ja kustannusten hallinta

Perinteisten kilpailuetujen katoaminen ja kilpailun kiristyminen haastavat yrityksiä etsimään keinoja kilpailukyvyn säilyttämiseksi. Tietotekniikan nopea kehitys ja liiketoiminnassa syntyvän datan määrän kasvu luovat yrityksille mahdollisuuden hyödyntää analytiikkaa päätöksenteon tukena ja liiketoiminnan tehostamisessa. Työ on kirjallisuuskatsaus ja sen tavoitteena on selvittää analytiikkajärjestelmän käyttöönottoprojektin vaiheet, käyttöönottoon liittyvät kustannukset ja miten kustannuksia voidaan hallita. Lisäksi esitetään tiivis katsaus analytiikan kehitykseen ja nykytilaan sekä tarkastellaan hankintamalleja, hankkeiden taloudellista arviointia ja käyttöönottoprojektin kriittisiä menestystekijöitä. Käyttöönottoprojekti on monivaiheinen ja se alkaa liiketoiminnan analysoinnista sekä järjestelmän suunnittelusta ulottuen aina sen toteutukseen ja jälkiarviointiin. Käyttöönottoon liittyy useita kustannuseriä, joita voidaan luokitella niiden ominaisuuksien perusteella. Projektin kustannusten hallinnan prosesseja ovat kustannusten hallinnan suunnittelu, kustannusten arviointi, budjetin määrittäminen ja kustannusten valvonta, jotka limittyvät käyttöönoton vaiheiden kanssa.

Context-awareness privacy in data communications

Internet users consume online targeted advertising based on information collected about them and voluntarily share personal information in social networks. Sensor information and data from smart-phones is collected and used by applications, sometimes in unclear ways. As it happens today with smartphones, in the near future sensors will be shipped in all types of connected devices, enabling ubiquitous information gathering from the physical environment, enabling the vision of Ambient Intelligence. The value of gathered data, if not obvious, can be harnessed through data mining techniques and put to use by enabling personalized and tailored services as well as business intelligence practices, fueling the digital economy. However, the ever-expanding information gathering and use undermines the privacy conceptions of the past. Natural social practices of managing privacy in daily relations are overridden by socially-awkward communication tools, service providers struggle with security issues resulting in harmful data leaks, governments use mass surveillance techniques, the incentives of the digital economy threaten consumer privacy, and the advancement of consumergrade data-gathering technology enables new inter-personal abuses. A wide range of fields attempts to address technology-related privacy problems, however they vary immensely in terms of assumptions, scope and approach. Privacy of future use cases is typically handled vertically, instead of building upon previous work that can be re-contextualized, while current privacy problems are typically addressed per type in a more focused way. Because significant effort was required to make sense of the relations and structure of privacy-related work, this thesis attempts to transmit a structured view of it. It is multi-disciplinary - from cryptography to economics, including distributed systems and information theory - and addresses privacy issues of different natures. As existing work is framed and discussed, the contributions to the state-of-theart done in the scope of this thesis are presented. The contributions add to five distinct areas: 1) identity in distributed systems; 2) future context-aware services; 3) event-based context management; 4) low-latency information flow control; 5) high-dimensional dataset anonymity. Finally, having laid out such landscape of the privacy-preserving work, the current and future privacy challenges are discussed, considering not only technical but also socio-economic perspectives.

Monitorização e gestão em turismo : uma proposta de dashboard visual

A presente investigação propõe-se a atuar no sector turístico, uma vez que este é bombardeado diariamente por uma quantidade considerável de dados e informações. Atualmente, usufrui-se significativamente mais da tecnologia com a finalidade de promover e vender os produtos/serviços disponíveis no mercado. A par da evolução tecnológica, os utilizadores/clientes conseguem comprar, cada vez mais, à distancia de um clique os produtos turísticos que desejam. No entanto, há um variado leque de aplicações sobre o turismo que permitem entender os gostos e as necessidades dos turistas assim como a sua atitude para com o mesmo. Porém, nem as entidades nem os gestores turísticos usufruem inteligentemente dos dados que lhes são facultados. Estes tendem normalmente a prender-se pelo turismo em Portugal e de que forma é que a sua entidade é apresentada acabando por esquecer que os dados podem e devem ser utilizados para expandir o mercado assim como entender/conhecer potenciais mercados. Deste modo, o fundamento principal desta investigação remete para a criação de uma plataforma infocomunicacional que analise na totalidade os dados obtidos, assim como fornecer as ferramentas pertinentes para que se consiga fazer esta análise, nomeadamente através de uma representação infográfica adequada e estratégias de a comunicar aos stakeholders.. Para tal foi aplicada no âmbito desta dissertação a metodologia investigação/ação, vista como um processo cíclico que para além de incluir simultaneamente estas duas vertentes, vai alternando entre a ação e a reflexão critica sendo sustentada por bases teóricas. A criação do protótipo da plataforma Smart Tourism, resultou num sistema inovador que tenta responder aos indicadores escolhidos no Dashbord e ao problema infocomunicacional, tentando criar as bases necessárias para que as entidades consigam analisar de forma mais integrada/sistematizada e racional a atividade turística. Foi por isso, desenvolvido e avaliado qualitativamente um protótipo de base infocomunicacional visual (dashboard visual) que para além do que para além do que já foi referido, consegue proporcionar a gestão dos produtos, clientes, staff e parceiros, aumentando assim o valor deste sector.

Inteligência coopetitiva setorial: uma proposta de modelo

The business environment context points at the necessity of new forms of management for the sustainable competitiveness of organizations through time. Coopetition is characterized as an alternative in the interaction of different actors, which compete and cooperate simultaneously, in the pursuit of common goals. This dual relation, within a gain-increasing perspective, converts competitors into partners and fosters competitiveness, especially that of organizations within a specific sector. The field of competitive intelligence has, in its turn, assisted organizations, individually, in the systematization of information valuable to decision-making processes, which benefits competitiveness. It follows that it is possible to combine coopetition and competitive intelligence in a systematized process of sectorial intelligence for coopetitive relations. The general aim of this study is, therefore, to put forth a model of sectorial coopetitive intelligence. The methodological outlining of the study is characterized as a mixed approach (quantitative and qualitative methods), of an applied nature, of exploratory and descriptive aims. The Coordination of the Strategic Roadmapping Project for the Future of Paraná's Industry is the selected object of investigation. Protocols have been designed to collect primary and secondary data. In the collection of the primary ata, online questionary were sent to the sectors selected for examination. A total of 149 answers to the online questionary were obtained, and interviews were performed with all embers of the technical team of the Coordination, in a total of five interviewees. After the collection, all the data were tabulated, analyzed and validated by means of focal groups with the same five members of the Coordination technical team, and interviews were performed with a representative of each of the four sectors selected, in a total of nine participants in the validation. The results allowed the systematization of a sectorial coopetitive intelligence model called ICoops. This model is characterized by five stages, namely, planning, collection, nalysis, project development, dissemination and evaluation. Each stage is detailed in inputs, activities and outputs. The results suggest that sectorial coopetition is motivated mainly by knowledge sharing, technological development, investment in R&D, innovation, chain integration and resource complementation. The importance of a neutral institution has been recognized as a facilitator and incentive to the approximation of organizations. Among the main difficulties are the financing of the projects, the adhesion of new members, the lack of tools for the analysis of information and the dissemination of the actions.

Aplicação das tecnologias de informação e comunicação como estratégia para a retenção de aunos

Este artigo aborda a aplicação das Tecnologias de Informação e Comunicação como estratégias de boas práticas que conduzem à retenção e captura de alunos do ensino superior. É baseado num estudo de caso de oito anos, de utilização de um completo sistema de informação. Este sistema, além de constituir um ERP, de suporte às actividades de gestão académica, dispõe ainda de uma forte componente de SRM que confere suporte às actividades administrativas e lectivas. É descrito em que medida o sistema apresentado facilita a interacção e comunicação entre os membros da comunidade académica, recorrendo à internet, com serviços disponíveis na Web complementando-os com correio electrónico, SMS e CTI. Através de uma percepção, sustentada por análise empírica e por resultados de inquéritos, demonstra-se como este tipo de boas práticas pode elevar o nível de satisfação da comunidade. Muito em particular, é possível combater o insucesso escolar, evitar que alunos abandonem os seus cursos antes do seu término e que os recomendem a potenciais alunos. Em complemento, este tipo de estratégia permite ainda fortes economias na gestão da instituição, elevando o seu valor. Como trabalho futuro, é apresentada a nova fase do projecto que envereda pela aplicação de Business Intelligence para optimização do processo de gestão, tornando-o pró-activo. Também é apresentada a visão tecnológica que orienta os novos desenvolvimentos, para uma arquitectura baseada em serviços Web e linguagens de definição processual.

Technology strategies in the process of student retention and efficiency of academic management

This article discusses the application of Information and Communication Technologies and strategies for best practices in order to capture and maintain faculty students' attention. It is based on a case study of ten years, using a complete information system. This system, in addition to be considered an ERP, to support the activities of academic management, also has a strong component of SRM that provides support to academic and administrative activities. It describes the extent to which the presented system facilitates the interaction and communication between members of the academic community, using the Internet, with services available on the Web complementing them with email, SMS and CTI. Through a perception, backed by empirical analysis and results of investigations, it demonstrates how this type of practice may raise the level of satisfaction of the community. In particular, it is possible to combat failure at school, avoid that students leave their course before its completion and also that they recommend them to potential students. In addition, such a strategy also allows strong economies in the management of the institution, increasing its value. As future work, we present the new phase of the project towards implementation of Business Intelligence to optimize the management process, making it proactive. The technological vision that guides new developments to a construction based on Web services and procedural languages is also presented.

Modelo de gestão do conhecimento para a unidade organizacional de saúde

Nos últimos anos têm surgido vários debates e estudos sobre a importância do conhecimento. As organizações consideram a Gestão do Conhecimento (GC) uma vantagem competitiva, capaz de gerar riqueza e poder. Para tal necessitam de desenvolver mecanismos e de ter pessoas com capacidade de criar, compartilhar e disseminar conhecimentos na organização. As Tecnologias de Informação e os Sistemas de Informação são uma ferramenta de grande impacto na GC, pois assumem um papel importante no sucesso e na renovação dos conhecimentos. A partir do Modelo de GC desenvolvido por Nonaka e Takeuchi, o Modelo Metavisão, e as técnicas de Business lntelligence, elaborou-se um Modelo de Gestão do conhecimento para a Unidade de Saúde. Com este modelo pretende-se obter beneficies, que passam pelo desenvolvimento de mecanismos de comunicação interna, formação e melhorias no processo de tomada de decisão. ABSTRACT; During the last years, debates and studies have arisen in relation to the importance of knowledge. The organizations consider Knowledge Management a competitive advantage, capable of generating wealth and power. Therefore, new mechanisms have to be developed in the organizations and employ people with capacity to create, share and disseminate knowledge. The information and Communication Technology is an important tool and has a great impact on Knowledge Management because it assumes an important role in the success and the renovation of knowledge. The Model of Knowledge Management developed by Nonaka and Takeuchi, the "Metavision" Model and the techniques of Business intelligence were the starting point to elaborate a Model of Knowledge Management for a Health Unit. With this model we aim to obtain benefits, such as development of mechanisms of internal communication, training plans and improvement during the process of decision making.