Business Intelligence (BI) möjliggör bättre och effektivare beslutsfattande genom att förse beslutsfattare med relevant information vid rätt tillfälle, plats och format och har därmed möjligheten att stärka verksamheter. Idag är det svårt att hitta en framgångsrik verksamhet som inte tillämpar BI. Implementeringen och underhållningen av BI är dock kopplad till några förebyggande faktorer. Cloud Computing (CC) är en ny typ av lösning som har potentialen att åtgärda de förebyggande faktorerna som brukar hindra verksamheter från att utnyttja fördelarna hos BI. Kombinationen av BI och CC brukar kallas för Cloud BI, vilket är området som denna undersökningen berör. Styrkor och svagheter hos CC blir ärvda till Cloud BI i samband med kombinationen. Precis som BI har sina förebyggande faktorer har även Cloud BI förebyggande faktorer i form av svagheter. Verksamheter måste överväga styrkor mot svagheter innan de väljer att tillämpa Cloud BI. Under denna undersökningen genomförde författaren en litteraturgranskning och upptäckte både inkonsekvens och motsägelser angående styrkor och svagheter hos Cloud BI samt en brist på empiriska och kvalitativa studier. Författaren valde därmed att undersöka styrkor och svagheter hos Cloud BI i praktiken, genom att ta reda på hur praktiska användare i Sverige upplever Cloud BI. Användarnas upplevelser samlades in genom semi-strukturerade intervjuer och analyserades genom tematisk analys. Totalt deltog sex respondenter från fyra olika verksamheter. Resultatet visar att styrkorna som användarna upplever är (1) skalbarhet, (2) tidsbesparingar, (3) mobilitet, (4) potentiella kostnadsbesparingar, (5) inbyggd säkerhetskopiering, (6) effektivitet samt (7) tillgång till de senaste versionerna medan svagheterna som användarna upplever är (1) svårt att estimera kostnader, (2) lagstiftningsproblem, (3) leverantörsberoende, (4) kompatibilitetsproblem, (5) mognad samt (6) valmöjligheter.

Les pouvoirs publics en Algérie compte sur les PME pour diversifier l'économie, qui demeure une économie de rente pétrolière. Cependant, ces PME sont fragiles et ne participent pas activement à la croissance et le développement du pays.Notre projet consiste à proposer une solution efficace et efficiente pour les PME. cette solution consiste à innover par l'information. L'innovation étant définie comme un moyen de l'adaptation au changement de l'environnement. Certes, la collecte de l'information nécessite des moyens humains et financiers considérables que la PME ne possèdent pas, d'ou la nécessité de l'intervention de l'Etat pour mettre à disposition de ces PME les informations dont ils ont besoin. / The authorities in Algeria account for SMEs to diversify the economy, which remains an oil rent economy. However, these SMEs are fragile and do not actively participate in the growth and development of the country.Our project is to provide an effective and efficient solution for SMEs. this solution is to innovate through information. Innovation is defined as a way of adapting to environmental change. Certainly the collection of information requires considerable human and financial resources that SMEs do not possess, hence the need for state intervention to make available to these SMEs with the information they need.

Com o crescimento da demanda por aplicações orientadas a serviços, a complexidade da gestão de mudanças em serviços aumenta cada vez mais. Nesse contexto, provedores de portfólios de serviços têm como objetivo a minimização do impacto de tais mudanças para os seus clientes. Os trabalhos existentes abordam essencialmente a mudança sob o viés técnico, lidando com técnicas de versionamento e determinação de compatibilidade. No entanto, os provedores possuem dilemas de decisão que vão além dos aspectos técnicos, abrangendo o impacto na perspectiva de negócios, considerando clientes afetados, receitas, custos, violações de SLA, entre outros. Este trabalho faz parte de um framework voltado para a análise da evolução de serviços considerando a perspectiva de uso dos mesmos. O presente trabalho propõe o uso de técnicas de Business Intelligence e Data Warehousing para apoiar a tomada de decisões orientadas a negócios na gestão do ciclo de vida de serviços. Em tal contexto, considera-se o cenário de portfólio de serviços e mudanças profundas, abrangendo cadeias de serviços e clientes diretos/indiretos. Este trabalho identifica e analisa requisitos de decisão, juntamente com indicadores financeiros e de uso relacionados à provisão de serviços. Um data warehouse é modelado para prover uma visão unificada e integrada de tais indicadores, de acordo com diferentes perspectivas de análise. Uma arquitetura para a extração, transformação e carga dos dados também é apresentada com a proposição de alternativas para lidar com a integração e heterogeneidade das fontes de dados. Através de um estudo de caso inspirado em um cenário real, demonstra-se como a análise do impacto é analisada através da abordagem proposta. / With the growing demand for service-oriented applications, the complexity of service change management is increasing. In this context, service providers aim at the minimal impact of changes to its clients. Existing work essentially addresses change decisions from a technical perspective, with versioning techniques and compatibility assessments. However, providers have decisional dilemmas that go beyond the technical aspects, addressing the business impact in terms of clients affected, revenues, costs, SLA penalties, among others. This work integrates a framework addressing the service evolution analysis based on service usage perspective. We propose the use of Business Intelligence and Data Warehousing techniques to support business-oriented decisions on the service life-cycle management. Our approach covers service portfolios and the deep change context, i.e. services consumed in large scale and direct/indirect clients. This work is centered on the identification and analysis of decisional requirements and financial and usage indicators related to the service provision business. A data warehouse is modeled to provide a unified and integrated view of these indicators, according to different analysis perspectives. An architecture to extract, transform and loading data also is presented, proposing alternatives to lead with the integration and the heterogeneity of the data sources. Through a case study inspired by a real world scenario, we demonstrate how change impact is analyzed according our approach.

Knowledge Management (KM) and Business Intelligence (BI) are topics, which are receiving much currency in the literature of academia and the general media over the past several years. This thesis explores KM from the perspective of the acquisition of business intelligence inside and outside the organisation. We do this by undertaking an extensive survey of the literature in the field. This thesis provides an overview of the major concepts, approaches, and issues as well as some experiences and trends of KM, covering both organisational and technological aspects. Firstly, chapter 2 discusses various definitions of knowledge and KM as well as related terms like tacit knowledge and intellectual capital, from a philosophical, a technological and a business point of view. Secondly, chapter 3, describes the major components of KM, from a process perspective, a func- tional perspective and a technological perspective. Important processes include the setting of appropriate goals; the creation, discovery, acquisition and capture of knowledge. The chapter also describes the storage of that knowledge in knowledge repositories, the classification, re- trieval, filtering and refinement of knowledge; the transfer and use of that knowledge. Finally, the chapter ends with how organisations may undertake the assessment, conservation and main- tenance of knowledge, and states that groupware, document management systems, intelligent agents, knowledge maps and expertise profiling are examples of technologies used in KM. iii The thesis then looks at the role of asynchronous groupware in enabling and harnessing the benefits of KM. Here, the research discusses how Information Technology (IT), and specifically, synchronous and asynchronous groupware, may be integrated with KM in a drive towards cre- ating BI. Chapter 4 also studies the term `business intelligence', with specific relevance to the identification of business opportunities, and the application of the concepts of intellectual capital (IC). Chapter 5 outlines the research methodology, which includes two surveys on KM awareness and KM practices in order to gauge the level of implementation and application of KM for adding value to organisations. The research methodology also employs a case study to validate the implementation of an aspect of KM collaboration and knowledge sharing. The findings from the surveys give testament to the level of awareness and implementation of KM in best practice organisations. Chapter 7 then presents the approaches to measuring IC, and BI used by firms employing knowledge management practices to maintain their competitive advantage. In chapter 8, the researcher analyses how KM presentations and implementation in organisations may be operationalised. In chapter 9, the research presents the research model, the KM-BI model, which is the seminal objective of this thesis. The KM-BI model uses the confirmatory factor analysis procedure, Proc Calis of SAS Institute, to present a measurement model. In seeking to clarify the argument being made, a model is confirmed and discussed in terms of the transformation process from KM to BI and the subsequent competitive advantage. iv / Business Management / DBL

Avant l’arrivée du Big Data, la quantité de données contenues dans les bases de données était relativement faible et donc plutôt simple à analyser. Dans ce contexte, le principal défi dans ce domaine était d’optimiser le stockage des données, mais aussi et surtout le temps de réponse des Systèmes de Gestion de Bases de Données (SGBD). De nombreux benchmarks, notamment ceux du consortium TPC, ont été mis en place pour permettre l’évaluation des différents systèmes existants dans des conditions similaires. Cependant, l’arrivée de Big Data a complètement changé la situation, avec de plus en plus de données générées de jour en jour. Parallèlement à l’augmentation de la mémoire disponible, nous avons assisté à l’émergence de nouvelles méthodes de stockage basées sur des systèmes distribués tels que le système de fichiers HDFS utilisé notamment dans Hadoop pour couvrir les besoins de stockage technique et le traitement Big Data. L’augmentation du volume de données rend donc leur analyse beaucoup plus difficile. Dans ce contexte, il ne s’agit pas tant de mesurer la vitesse de récupération des données, mais plutôt de produire des séquences de requêtes cohérentes pour identifier rapidement les zones d’intérêt dans les données, ce qui permet d’analyser ces zones plus en profondeur, et d’extraire des informations permettant une prise de décision éclairée. / In a Big Data context, traditional data analysis is becoming more and more tedious. Many approaches have been designed and developed to support analysts in their exploration tasks. However, there is no automatic, unified method for evaluating the quality of support for these different approaches. Current benchmarks focus mainly on the evaluation of systems in terms of temporal, energy or financial performance. In this thesis, we propose a model, based on supervised automatic leaming methods, to evaluate the quality of an OLAP exploration. We use this model to build an evaluation benchmark of exploration support sys.terns, the general principle of which is to allow these systems to generate explorations and then to evaluate them through the explorations they produce.

Orientador: João Pedro Albino / Banca: Davi Noboru Nakano / Banca: Vagner Cavenaghi / Resumo: As empresas têm inserido cada vez mais as práticas de Gestão do Conhecimento (GC) em suas estratégias como uma forma de gerar um ambiente propício à aprendizagem e atuar como um diferencial competitivo. No entanto, ao se tratar de um assunto relativamente recentes, o maior desafio para as organizações nesta nova era do conhecimento, é conseguir administrar com sucesso os ativos intangíveis. Diante disso, tornaram-se essenciais ações que agreguem valor na questão de quais fatores agem como facilitadores na utilização de práticas de GC dentro de uma organização, como também os que dificultam o seu sucesso. Inicialmente desenvolveu-se neste trabalho uma pesquisa descritiva e exploratória dos assuntos abordados. Em seguida, é realizado um estudo de caso alinhado por uma pesquisa participante, em uma grande empresa automobilística alemã (Continental AG), com o objetivo de analisar os principais Fatores Críticos de Sucesso (FCS) que afetam o funcionamento das Comunidades de Prática (CoPs). Tais comunidades são definidas como grupos inicialmente informais, que tem como objetivo compartilhar informações, percepções, experiências e conhecimento sobre uma área de interesse comum. Com os resultados coletados por meio de um questionário aplicado na empresa, é realizada uma análise quantitativa, qualitativa e de relações entre as respostas, que demonstram importantes dependências entre os fatores com relação às causas que desmotivam os funcionários na utilização das comunidades. Com isso, os fatores são classificados entre facilitadores e inibidores e ordenados em uma escala de ações prioritárias para implementação de suas melhorias. Por fim, conclui-se que os principais desafios impostos à organização concentram-se na gestão da cultura organizacional e comportamental, no sentido de gerar um ambiente favorável ao compartilhamento do conhecimento / Abstract: The companies have increasingly entered the practice of knowledge management (KM) into their strategies as a way generate an environment conductive for learning conductive for learning and act as a competitive differentiator. However, in the case of a reatively recent issue, the biggest challenge for organizations in this new era of knowledge, is get a succesfully manage intangible assets. Therefore, become essential actions that add value to the question of what factors act as facilitators in the use of KM practices within an organization, as well as hampering their success. Initially developed in thi thesis a descriptive and exploratory research of issues addressed. In the next step, performed a case study lined with a participant research in a large German automobile company (Continental AG), aiming to analyze the major Critical Success Factors (CSFs) that affect the functioning of the Communities of Practice (CoPs). They are defined as informal groups, which aim to share information, insights, experiences and knowledge about an area of common interest. Within the results collected through a questionnaire applied in the company, an analysis is performed by quantitative, qualitative and a relationships between the responses, which show important dependencies between the factors in the causes of demotivation of employees in the use of communities. Thus, the factors are ranked among facilitators and inhibitors, and ordered on a scale of priority actions for implementation of their improvement. Finally, it is concluded that the major challenges posed to the organization focus on organizational culture and behavior management in order to generate a favorable environment for knowledge sharing / Mestre

The thesis deals with the design and implementation of Business Intelligence solution for evaluation of cash flow in organization. In the theoretical part, author introduces the reader with theoretical knowledge of Business Intelligence, cash flow and analysis of enterprise information system Helios Green. In the practical part is description of the design and implementation of data warehouse and ana-lytic database. In the part of implementation is explained strategic planning of cash flow, enabled using writeback to the data warehouse. Next chapter is about building financial reports. Thesis is finished by evaluating of the solution in terms of its benefits in comparison with the previous situation.

This thesis describes modern approaches to Business intelligence. It also explains in detail platform Power BI and Business intelligence add-ins for Microsoft Excel 2013. This thesis also shows how to create an application that communicates with free billing service iDoklad. The resulting aaplication is evaluated from an economic and implementation standpoint.

Diploma thesis deals with design and further implementation of web application which is designed as a subject for financial management and also for planning of the small and medium companies with the assist of the financial manager. The aim of the thesis was to create the system, where the historical data aggregates from the online accounting system iDoklad.cz and further data needed are put into system manually and furthermore there is a possibility to visualise them with the help of graphs. Visualisation is possible with prediction of future values related to the historical data. There is also possibility to modelate of basic user financial scenarios, videlicet various types of investitions and loans.

O presente estudo de caso tem o objetivo de estudar um método de avaliação da performance através da implantação das ferramentas de Business Intelligence do software Qlik Wiew para gestão de desempenho da produção da Fagundes Construção e Mineração Ltda. O trabalho apresenta a caracterização do processo utilizado na empresa na busca de dados de produção para gerar informações, bem como, elabora uma sugestão dos demostrativos e indicadores relacionados a produção para implantação na empresa. Da mesma forma, é realizada uma descrição do banco de dados e desenvolvida uma demonstração, como sugestão, de gráficos e tabelas para monitoramento dos demostrativos e indicadores sugeridos. / This case study examines a performance evaluation method through the deployment of the QlikView software Business Intelligence tools for production performance management at Fagundes Construção e Mineração Ltda. It describes the process used by the company to search for production data to generate information. It also elaborates a plan for the production-related demonstratives and indicators to be deployed in the company. Similarly, the work describes the database and develops a demonstration plan of charts and tables to monitor the suggested demonstratives and indicators.