Dissertations / Theses: 'Système Business Intelligence'

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Kuchmann-Beauger, Nicolas. "Système de questions/réponses dans un contexte de business intelligence." Phd thesis, Ecole Centrale Paris, 2013. http://tel.archives-ouvertes.fr/tel-00944140.

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Le volume et la complexité des données générées par les systèmes d'information croissent de façon singulière dans les entrepôts de données. Le domaine de l'informatique décisionnelle (aussi appelé BI) a pour objectif d'apporter des méthodes et des outils pour assister les utilisateurs dans leur tâche de recherche d'information. En effet, les sources de données ne sont en général pas centralisées, et il est souvent nécessaire d'interagir avec diverses applications. Accéder à l'information est alors une tâche ardue, alors que les employés d'une entreprise cherchent généralement à réduire leur charge de travail. Pour faire face à ce constat, le domaine " Enterprise Search " s'est développé récemment, et prend en compte les différentes sources de données appartenant aussi bien au réseau privé d'entreprise qu'au domaine public (telles que les pages Internet). Pourtant, les utilisateurs de moteurs de recherche actuels souffrent toujours de du volume trop important d'information à disposition. Nous pensons que de tels systèmes pourraient tirer parti des méthodes du traitement naturel des langues associées à celles des systèmes de questions/réponses. En effet, les interfaces en langue naturelle permettent aux utilisateurs de rechercher de l'information en utilisant leurs propres termes, et d'obtenir des réponses concises et non une liste de documents dans laquelle l'éventuelle bonne réponse doit être identifiée. De cette façon, les utilisateurs n'ont pas besoin d'employer une terminologie figée, ni de formuler des requêtes selon une syntaxe très précise, et peuvent de plus accéder plus rapidement à l'information désirée. Un challenge lors de la construction d'un tel système consiste à interagir avec les différentes applications, et donc avec les langages utilisés par ces applications d'une part, et d'être en mesure de s'adapter facilement à de nouveaux domaines d'application d'autre part. Notre rapport détaille un système de questions/réponses configurable pour des cas d'utilisation d'entreprise, et le décrit dans son intégralité. Dans les systèmes traditionnels de l'informatique décisionnelle, les préférences utilisateurs ne sont généralement pas prises en compte, ni d'ailleurs leurs situations ou leur contexte. Les systèmes état-de-l'art du domaine tels que Soda ou Safe ne génèrent pas de résultats calculés à partir de l'analyse de la situation des utilisateurs. Ce rapport introduit une approche plus personnalisée, qui convient mieux aux utilisateurs finaux. Notre expérimentation principale se traduit par une interface de type search qui affiche les résultats dans un dashboard sous la forme de graphes, de tables de faits ou encore de miniatures de pages Internet. En fonction des requêtes initiales des utilisateurs, des recommandations de requêtes sont aussi affichées en sus, et ce dans le but de réduire le temps de réponse global du système. En ce sens, ces recommandations sont comparables à des prédictions. Notre travail se traduit par les contributions suivantes : tout d'abord, une architecture implémentée via des algorithmes parallélisés et qui prend en compte la diversité des sources de données, à savoir des données structurées ou non structurées dans le cadre d'un framework de questions/réponses qui peut être facilement configuré dans des environnements différents. De plus, une approche de traduction basée sur la résolution de contrainte, qui remplace le traditionnel langage-pivot par un modèle conceptuel et qui conduit à des requêtes multidimensionnelles mieux personnalisées. En outre, en ensemble de patrons linguistiques utilisés pour traduire des questions BI en des requêtes pour bases de données, qui peuvent être facilement adaptés dans le cas de configurations différentes.

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Harriet, Loïc. "L'intelligence économique à la lumière des concepts managériaux : l'étude de cas d'une entreprise du secteur énergétique." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0193/document.

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L’intelligence économique se présente comme une exception conceptuelle francophone issue à la fois de traductions de différents termes anglo-saxons mais également d’une agrégation de fonctions organisationnelles liées à l’information. Ces fondements hétéroclites se conjuguent à une effervescence pratique, l’intelligence économique ne cessant de se développer sous diverses formes dans les organisations. Cette thèse vise à proposer un fondement théorique nouveau à ces expériences en s’appuyant sur les concepts managériaux au travers de l’étude du cas de Gaz de Bordeaux, une entreprise du secteur énergétique. S’inscrivant dans une volonté exploratoire fondée sur une méthodologie qualitative, l’objectif est de proposer une définition s’appuyant sur les théories gestionnaires de l’asymétrie d’information, du système et de la valeur "L'intelligence économique" is presented as a French conceptual exception after at a time of translations various English terms but also an aggregation of organizational functions related to information. These heteroclite bases are combined to an effervescent practice, “l’intelligence économique” never ceasing to develop in various forms in organizations. This thesis aims to propose a new theoretical basis for these experiments based on the managerial concepts through a case study of Gaz de Bordeaux, an energy firm. As part of an exploratory will based on a qualitative, the objective is to propose a definition based on the Management Science theories of asymmetric information, system and value

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Crossland, Maria. "How business intelligence is adding business value." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/10287.

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Includes bibliographical references (leaves 67-72). Business Intelligence (BI) continues to top the list of CIO priorities, investment in BI technologies continues to grow and organizations are becoming increasingly reliant on BI to help reduce costs and grow revenues. However, structured measurement and monitoring of the business value that can be attributed to BI investment remain elusive. This study used a multiple case study approach to examine how BI is adding value to organizations, what processes and methods are being followed for the evaluation of the business value that BI delivers as well as what approaches are being used to maximize the potential value that the organization's investment on BI could deliver.

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Gluchowski, Peter, Marcus Hofmann, Frieder Jacobi, Robert Krawatzeck, and André Müller. "Business-Intelligence-Umfrage 2011: Softwaregestütztes Lebenszyklusmanagement und aktuelles Dokumentationsgeschehen für Business-Intelligence-Systeme." Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-75452.

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Am Lehrstuhl Wirtschaftsinformatik II der TU Chemnitz arbeitet die Nachwuchsforschergruppe Computer-Aided Warehouse Engineering (CAWE), die seit August 2010 besteht, an einem vollständig modellgetriebenen Vorgehen zur Unterstützung des Lebenszyklus von Business-Intelligence-Systemen (BI-Systemen). Neben der Durchführung von Grundlagenforschung hat die Nachwuchsforschergruppe die Erstellung eines Software-Prototyps zum Ziel. Eine wichtige Funktionalität ist die automatische Erzeugung von Systemdokumentationen für verschiedene BI-Systeme mit dem Schwerpunkt auf den Architekturkomponenten. Im Rahmen des Forschungsprojektes führte die CAWE Nachwuchsforschergruppe unter der Leitung von Prof. Dr. Peter Gluchowski in 2011 eine bundesweite Umfrage bei mittelständischen bis großen Unternehmen zu folgendem Thema durch: „Softwaregestütztes Lebenszyklusmanagement und aktuelles Dokumentationsgeschehen für Business Intelligence-Systeme“.

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Kuchmann-Beauger, Nicolas. "Question Answering System in a Business Intelligence Context." Thesis, Châtenay-Malabry, Ecole centrale de Paris, 2013. http://www.theses.fr/2013ECAP0021/document.

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Le volume et la complexité des données générées par les systèmes d’information croissent de façon singulière dans les entrepôts de données. Le domaine de l’informatique décisionnelle (aussi appelé BI) a pour objectif d’apporter des méthodes et des outils pour assister les utilisateurs dans leur tâche de recherche d’information. En effet, les sources de données ne sont en général pas centralisées, et il est souvent nécessaire d’interagir avec diverses applications. Accéder à l’information est alors une tâche ardue, alors que les employés d’une entreprise cherchent généralement à réduire leur charge de travail. Pour faire face à ce constat, le domaine « Enterprise Search » s’est développé récemment, et prend en compte les différentes sources de données appartenant aussi bien au réseau privé d’entreprise qu’au domaine public (telles que les pages Internet). Pourtant, les utilisateurs de moteurs de recherche actuels souffrent toujours de du volume trop important d’information à disposition. Nous pensons que de tels systèmes pourraient tirer parti des méthodes du traitement naturel des langues associées à celles des systèmes de questions/réponses. En effet, les interfaces en langue naturelle permettent aux utilisateurs de rechercher de l’information en utilisant leurs propres termes, et d’obtenir des réponses concises et non une liste de documents dans laquelle l’éventuelle bonne réponse doit être identifiée. De cette façon, les utilisateurs n’ont pas besoin d’employer une terminologie figée, ni de formuler des requêtes selon une syntaxe très précise, et peuvent de plus accéder plus rapidement à l’information désirée. Un challenge lors de la construction d’un tel système consiste à interagir avec les différentes applications, et donc avec les langages utilisés par ces applications d’une part, et d’être en mesure de s’adapter facilement à de nouveaux domaines d’application d’autre part. Notre rapport détaille un système de questions/réponses configurable pour des cas d’utilisation d’entreprise, et le décrit dans son intégralité. Dans les systèmes traditionnels de l’informatique décisionnelle, les préférences utilisateurs ne sont généralement pas prises en compte, ni d’ailleurs leurs situations ou leur contexte. Les systèmes état-de-l’art du domaine tels que Soda ou Safe ne génèrent pas de résultats calculés à partir de l’analyse de la situation des utilisateurs. Ce rapport introduit une approche plus personnalisée, qui convient mieux aux utilisateurs finaux. Notre expérimentation principale se traduit par une interface de type search qui affiche les résultats dans un dashboard sous la forme de graphes, de tables de faits ou encore de miniatures de pages Internet. En fonction des requêtes initiales des utilisateurs, des recommandations de requêtes sont aussi affichées en sus, et ce dans le but de réduire le temps de réponse global du système. En ce sens, ces recommandations sont comparables à des prédictions. Notre travail se traduit par les contributions suivantes : tout d’abord, une architecture implémentée via des algorithmes parallélisés et qui prend en compte la diversité des sources de données, à savoir des données structurées ou non structurées dans le cadre d’un framework de questions/réponses qui peut être facilement configuré dans des environnements différents. De plus, une approche de traduction basée sur la résolution de contrainte, qui remplace le traditionnel langage-pivot par un modèle conceptuel et qui conduit à des requêtes multidimensionnelles mieux personnalisées. En outre, en ensemble de patrons linguistiques utilisés pour traduire des questions BI en des requêtes pour bases de données, qui peuvent être facilement adaptés dans le cas de configurations différentes The amount and complexity of data generated by information systems keep increasing in Warehouses. The domain of Business Intelligence (BI) aims at providing methods and tools to better help users in retrieving those data. Data sources are distributed over distinct locations and are usually accessible through various applications. Looking for new information could be a tedious task, because business users try to reduce their work overload. To tackle this problem, Enterprise Search is a field that has emerged in the last few years, and that takes into consideration the different corporate data sources as well as sources available to the public (e.g. World Wide Web pages). However, corporate retrieval systems nowadays still suffer from information overload. We believe that such systems would benefit from Natural Language (NL) approaches combined with Q&A techniques. Indeed, NL interfaces allow users to search new information in their own terms, and thus obtain precise answers instead of turning to a plethora of documents. In this way, users do not have to employ exact keywords or appropriate syntax, and can have faster access to new information. Major challenges for designing such a system are to interface different applications and their underlying query languages on the one hand, and to support users’ vocabulary and to be easily configured for new application domains on the other hand. This thesis outlines an end-to-end Q&A framework for corporate use-cases that can be configured in different settings. In traditional BI systems, user-preferences are usually not taken into account, nor are their specific contextual situations. State-of-the art systems in this field, Soda and Safe do not compute search results on the basis of users’ situation. This thesis introduces a more personalized approach, which better speaks to end-users’ situations. Our main experimentation, in this case, works as a search interface, which displays search results on a dashboard that usually takes the form of charts, fact tables, and thumbnails of unstructured documents. Depending on users’ initial queries, recommendations for alternatives are also displayed, so as to reduce response time of the overall system. This process is often seen as a kind of prediction model. Our work contributes to the following: first, an architecture, implemented with parallel algorithms, that leverages different data sources, namely structured and unstructured document repositories through an extensible Q&A framework, and this framework can be easily configured for distinct corporate settings; secondly, a constraint-matching-based translation approach, which replaces a pivot language with a conceptual model and leads to more personalized multidimensional queries; thirdly, a set of NL patterns for translating BI questions in structured queries that can be easily configured in specific settings. In addition, we have implemented an iPhone/iPad™ application and an HTML front-end that demonstrate the feasibility of the various approaches developed through a series of evaluation metrics for the core component and scenario of the Q&A framework. To this end, we elaborate on a range of gold-standard queries that can be used as a basis for evaluating retrieval systems in this area, and show that our system behave similarly as the well-known WolframAlpha™ system, depending on the evaluation settings

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Kashora, Kudzai. "Leveraging mobile business intelligence to create strategic business value." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/13218.

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Includes bibliographical references. Currently, there is a growing need for mobile Business Intelligence (BI) in the business world as the nature of work is changing and employees are more mobile than ever before. Mobile BI promises portability and pervasive access to BI, making it a topic high on many directors’ agendas; however the tangible and intangible benefits of mobile BI are still not well understood. Coupled with this, BI practitioners’ are sceptical about the real business value of delivering BI reports to mobile devices and how this undertaking can bring about organizational changes in the long run. As the field of mobile BI is still in its infancy, there is a lack of research which addresses the business value of mobile BI. The existing studies in this research area have been focused on adoption and implementation strategies. This study therefore attempts to address the gap by investigating how mobile BI can be utilised to enhance organizational performance and also contribute towards strategic business value. In light of this, an extensive literature review was conducted which revealed that mobile BI usage can result in benefits, such as improved employee performance management, organizational agility and customer satisfaction. A conceptual model was developed based on the literature and this model acted as the framework for investigating the research problem.

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Škapa, Martin. "Návrh a implementace Business Intelligence systému." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-222228.

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Aim of master’s thesis is design of Business Intelligence solution based on non commercial technology, consideration of installation costs, estimation of economic benefits and designing of final solution of currently unsatisfactory situation in company Fortemix s.r.o.

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Robles, Sebastian. "Business intelligence in Chile, recommendations to develop local applications." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/70831.

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Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, June 2011. "February 2010." Cataloged from PDF version of thesis. Includes bibliographical references (p. 60). The volume of information generated from enterprise applications is growing exponentially, and the cost of storage is decreasing rapidly. In addition, cloud-based applications, mobile devices and social networks are becoming relevant sources of unstructured data that provide essential information for strategic decisions making. Therefore, with time, enterprise databases will become more valuable for business but also much harder to integrate, process and analyze. Business Intelligence software was instrumental in helping organizations to analyze information and provide reports to support business decision-making. Accordingly, BI applications evolved as enterprise information grew, hardware-processing capacities developed, and storage cost is being reduced significantly. In this paper, we will analyze the current BI world market and compare it with the Chilean market, in order to come up with business plan recommendations for local developers and systems integrators interested in capitalizing the opportunities generated by the global BI software market consolidation. by Sebastian Robles. S.M.in Engineering and Management

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Chamoun, Christoffer. "Self-Service Business Intelligence : Kritiska framgångsfaktorer för att tillämpa Self-Service Business Intelligence." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15645.

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Self-service Business Intelligence är idag ett relativt nytt koncept och det blir vanligare idag att verksamheter börjar röra sig mot denna nya trend inom Business Intelligence för att att göra sina användare mer flexibla i sitt beslutsfattande. Anpassningen idag till Self- service BI är idag är låg och har sjunkit de senare trots stora investeringar. Konceptet med Self-service BI är kan vara svårt för användarna att förstå och det finns ett antal faktorer som kan bidra till att öka anpassningen och uppnå framgångar med att tillämpa SSBI. Denna studien syftar till att ta reda på: ”Vad finns det för kritiska framgångsfaktorer för att tillämpa Self-Service BI? ”. För att besvara frågan användes en kvalitativ metod och insamlingen för data utfördes med hjälp av semistrukturerade intervjuer. Intervjuerna utfördes på 6 företag med 6 olika respondenter som har erfarenhet inom SSBI och BI. Respondenterna bidrog med empirisk underlag för att kunna besvara studiens frågeställning, men även till litteraturen med information som litteraturen tidigare inte nämner. Resultaten har visat att svaren från respondenterna och litteraturen går i linje med varandra när det gäller kritiska framgångsfaktorer. Framgångsfaktorerna som diskuteras och tas upp av respondenterna och litteraturen var: Rätt verktyg för rätt användare & anpassningsbara användargränssnitt, utbildning, data governance & data management, kartlägga användare och tillgänglighet av data för att framgångsrikt tillämpa SSBI. Nya faktorer som framkom under de semistrukturerade intervjuerna med respondenterna var: Change management, kommunikation och experimentering & testning.

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Khalaf, Patrik. "Mobile business intelligence : För en lyckad mobile business intelligence lösning." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15752.

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Allt fler organisationer börjar se nyttan med Business Intelligence och varför det bör implementeras i sin verksamhet. Genom att använda sig av beslutsstödsystem kan organisationer samla ihop och bearbeta affärs-data och på så sätt få ut mer av sin verksamhet. Idag räcker det inte längre att ha tillgång till endast företagsinformationen inom verksamheten utan det behövs också kunna utnyttja realtids datan genom de mobila enheterna, detta genom Mobile Business Intelligence. Det handlar om en mobil variant av den traditionella business Intelligence (BI). Med tanke på den mobila användningen ökade tillgängligheten samt prestandan i mobila enheter, så finns det stora möjligheter för Mobile BI ute i verksamheterna. Mobile BI som vilket nytt system som helst kommer även en viss problematik, kritiska framgångsfaktorer har analyserats och utvärderats. Inom dimensionen organisationsstöd identifierades två framgångsfaktorer som kunde styrkas vid namn managementsupport och skickligheter & kunskaper. Utöver dessa kunde även ytterligare två framgångsfaktorer styrkas som kritiska, nämligen datasäkerhet och användbarheten genom den begränsade skärm-ytan. Med denna studie ska det underlätta och göra det enklare för verksamheter att implementera Mobile BI i sin verksamhet. Studien tar upp viktiga framgångsfaktorer vid en implementation av Mobile BI och vad organisationer bör ha i åtanke. More and more organizations are beginning to see the benefits of Business Intelligence and why it should be implemented into their business. By using decision support systems, organizations can merge and process business data and thus get more out of their business. Today, access to business information within the business is no longer sufficient, but it also needs to be able to use real-time data through the mobile devices. This through Mobile Business Intelligence, which is about a mobile variant of the traditional business intelligence (BI). Given the current mobile usage and how it has increased accessibility and mobile device performance, there are great opportunities for Mobile BI in the business. Mobile BI as any new system will also come with a certain problematic and critical success factors have been analyzed and evaluated. Within the organizational support dimension, two success factors were identified that was confirmed critical by name management support and knowledge and skills. In addition to these, another two success factors could be proved critical, named data security and usability through the limited screen area. With this study, it will facilitate and make it easier for businesses to implement Mobile BI in their operations. The study addresses key success factors in implementing Mobile BI and what organizations should keep in mind.

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Jíra, Martin. "Business intelligence: Požadavky na výběr softwaru a jeho přínosy." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-198247.

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The thesis focuses on requirements, which must be established when business intelligence is chosen, from user point of view. Business intelligence je decision support system and it is very important, that system must be ease of use and provide expected information for analyst and managers. During the process of choosing the software, they are the one, who provide requirements and expectation of the system. The thesis focuses on mapping those requirements and their importance using survey among analyst and managers, who uses business intelligence or want to use it.

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Lindahl, Alexander, and Joel Gustafsson. "Business Intelligence för små företag." Thesis, Uppsala universitet, Institutionen för informatik och media, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-386497.

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Globaliseringen av ekonomin har genererat globaliseringen av information som varje chef har att hantera snabbt och effektivt i beslutsprocessen. Små företag är mer sårbara för att ändra affärsvillkor än större konkurrenter. För att överleva i den instabila ekonomiska miljön där de är verksamma måste småföretag kunna monitorera sina affärer och använda alla sina resurser effektivt, särskilt informationsresurser. Under det senaste decenniet har användningen av business intelligence vuxit fram som ett måste för att inte tappa marknadsfördelar. Huvudsyftet med denna uppsats är att utvärdera hur business intelligence kan tas fram och implementeras i små företag. För att göra detta genomfördes ett design science research projekt där en IT- artefakt utvecklades med CRISP-DM som metod. Både IT-artefakten och metoden CRISP-DM utvärderas i uppsatsens analys. Arbetat mynnar ut i slutsatsen att CRISP-DM inte är lämpad som metod för denna typ av projekt. Slutligen kommer vi fram till de faktorer som härstammar från ett företags storlek som påverkar framtagningen av BI-system.

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Ahmad, Tanvir. "Design and Implementation of Business Intelligence Systems." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-156662.

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The goal of this project was to investigate the limitations of current Business Intelligence System (BI System) which was needed to re-design its architecture and embed two new modules. These two modules were named as Survey Form and Statistics Report. The survey form has a very dynamic behavior, for example the administrator can generate different types of surveys instantly by drag drop quick functionality of the interface and he can also send that surveys to the users. The user will give the answers of survey questions and send them back to the management of the company where survey form modules helped them to analyze the answers in the form of graphs. This survey form is also providing five different types of scheduling system where administrator can schedule their surveys in five different ways like Once, weekly, Monthly, Quarterly and Yearly. Statistics module has different behaviors. It implemented four different types of reports which are inter-related with each other. These four reports were named as financial report, human resource report, project overview and company overview. The finance report was responsible that it will show the revenue amount and source, from where the company generated this revenue. The second report was belonged to human resource department which was responsible for generating the overall situation of the employees and their projects. For example how many are on holidays, idle, working and going to be free soon. The third report was representing the projects overview of all the projects. This report is responsible for checking the status of all projects and show them in bar char who will show the management that how many projects are completed, going to start or delay and going to finish soon. The fourth and final report was responsible for generating report for the overall company status. This project has been completed successfully. The design, architecture and, implementation of intelligent Survey Form and Statics modules have been implemented and working successfully.

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Poulain, d'Andecy Vincent. "Système à connaissance incrémentale pour la compréhension de document et la détection de fraude." Thesis, La Rochelle, 2021. http://www.theses.fr/2021LAROS025.

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Le Document Understanding est la discipline de l’Intelligence Artificielle qui dote les machines du pouvoir de Lecture. Cette capacité sous-entend de comprendre dans une vision globale l’objet du document, sa classe, et dans une vision locale, des informations précises, des entités. Un double défi est de réussir ces opérations dans plus de 90% des cas tout en éduquant la machine avec le moins d’effort humain possible. Cette thèse défend la possibilité de relever ces défis avec des méthodes à apprentissage incrémental. Nos propositions permettent d’éduquer efficacement et itérativement une machine avec quelques exemples de document. Pour la classification, nous démontrons (1) la possibilité de découvrir itérativement des descripteurs textuels, (2) l’intérêt de tenir compte de l’ordre du discours et (3) l’intérêt d’intégrer dans le modèle de donnée incrémental une mémoire épisodique de quelques Souvenirs d’échantillon. Pour l’extraction d’entité, nous démontrons un modèle structurel itératif à partir d’un graphe en étoile dont la robustesse est améliorée avec quelques connaissances a priori d’ordre général. Conscient de l’importance économique et sociétale de la fraude dans les flux documentaires, cette thèse fait également le point sur cette problématique. Notre contribution est modeste en étudiant les catégories de fraude pour ouvrir des perspectives de recherche. Cette thèse a été conduite dans un cadre atypique en conjonction avec une activité industrielle à Yooz et des projets collaboratifs, en particulier, les projets FEDER SECURDOC soutenu par la région Nouvelle Aquitaine et Labcom IDEAS soutenu par l’ANR The Document Understanding is the Artificial Intelligence ability for machines to Read documents. In a global vision, it aims the understanding of the document function, the document class, and in a more local vision, it aims the understanding of some specific details like entities. The scientific challenge is to recognize more than 90% of the data. While the industrial challenge requires this performance with the least human effort to train the machine. This thesis defends that Incremental Learning methods can cope with both challenges. The proposals enable an efficient iterative training with very few document samples. For the classification task, we demonstrate (1) the continue learning of textual descriptors, (2) the benefit of the discourse sequence, (3) the benefit of integrating a Souvenir of few samples in the knowledge model. For the data extraction task, we demonstrate an iterative structural model, based on a star-graph representation, which is enhanced by the embedding of few a priori knowledges. Aware about economic and societal impacts because the document fraud, this thesis deals with this issue too. Our modest contribution is only to study the different fraud categories to open further research. This research work has been done in a non-classic framework, in conjunction of industrial activities for Yooz and collaborative research projects like the FEDER Securdoc project supported by la région Nouvelle Aquitaine, and the Labcom IDEAS supported by the ANR

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Pullokkaran, Laijo John. "Analysis of data virtualization & enterprise data standardization in business intelligence." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/90703.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (page 59). Business Intelligence is an essential tool used by enterprises for strategic, tactical and operational decision making. Business Intelligence most often needs to correlate data from disparate data sources to derive insights. Unifying data from disparate data sources and providing a unifying view of data is generally known as data integration. Traditionally enterprises employed ETL and data warehouses for data integration. However in last few years a technology known as "Data Virtualization" has found some acceptance as an alternative data integration solution. "Data Virtualization" is a federated database termed as composite database by McLeod/Heimbigner's in 1985. Till few years back Data Virtualization weren't considered as an alternative for ETL but was rather thought of as a technology for niche integration challenges. In this paper we hypothesize that for many BI applications "data virtualization" is a better cost effective data integration strategy. We analyze the system architecture of "Data warehouse" and "Data Virtualization" solutions. We further employ System Dynamics Model to compare few key metrics like "Time to Market" and "Cost of "Data warehouse" and "Data Virtualization" solutions. We also look at the impact of "Enterprise Data Standardization" on data integration. by Laijo John Pullokkaran. S.M. in Engineering and Management

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El, Harbiti Deeb. "Web-based spreadsheets and Business Intelligence : Combining a web-based spreadsheet with Pentahos Business Intelligence." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-324998.

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Business Intelligence is becoming more and more an essential element for a company’s planning, development and consistency. A company usually aims to predict and optimize the outcome of different decisions. In order to do that, it requires a tool that can perform scenario analysis or “what if” – analysis. These analyses can be performed with spreadsheets and today with the tools within business analysis being web-based, the purpose of the project is to combine a web-based spreadsheet with an analysis from a BI server. The BI server provides sample data. Should a combination be possible then a continuing goal would be to connect the BI server with a database and in that way provide the spreadsheet with data to perform “what if” – analysis. The results indicated that a combination between the web-based spreadsheet and the BI server was possible. However, a few alterations of the spreadsheet are still necessary in order for the combination to work as desired. Further developments of the product involve managing to adapt it to smartphones and tablets.

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Sangupamba, Mwilu Odette. "De la business intelligence interne vers la business intelligence dans le cloud : modèles et apports méthodologiques." Electronic Thesis or Diss., Paris, CNAM, 2018. http://www.theses.fr/2018CNAM1168.

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La BI et le cloud computing sont deux grands sujets de recherche en informatique et en système d’information en particulier. Une recherche combinant ces deux concepts est d'un intérêt double : D’une part, dans les entreprises, la BI devient de plus en plus une partie importante du système d'information qui nécessite des investissements en termes de performances de calcul et des volumes de données. D’autre part, le cloud computing offre de nouvelles opportunités pour gérer les données à des fins d’analyse.Etant donné les possibilités de cloud, la question de la migration de l'ensemble du système d’information y compris la BI est d'un grand intérêt. En particulier, les chercheurs doivent fournir aux professionnels des modèles et des méthodes qui puissent les aider à migrer vers le cloud.Que faire pour que la BI puisse fournir aux managers un service de mise à disposition de données d’analyse au travers du cloud ? La question de recherche est : Comment aider les organisations à migrer leur BI vers le cloud ?Dans cette thèse, nous répondons à cette question en utilisant l'approche science de conception (design science). Nous mettons en place une aide à la décision de la migration de la BI vers le cloud qui s'appuie sur les taxonomies. Nous proposons un modèle de guidage opérationnel qui est instancié par une taxonomie de la BI dans le cloud et dont découlent les règles pour la migration de la BI vers le cloud BI and cloud computing are two major areas of computer science research and in particular in information system. A research combining these two concepts has a double interest : On the one hand, in business, the BI becomes increasingly an important part of the information system which requires investment in terms of computing performance and data volumes. On the other hand, cloud computing offers new opportunities to manage data for analysis.Given the possibilities of cloud, migration question of the information system including BI is of great interest. In particular, researchers must provide models and methods to help professional in BI migration to the cloud.The research question is : how to migrate BI to the cloud?In this thesis, we address this issue using design science research approach. We implement a decision-making help for BI migration to the cloud based on taxonomies. We provide an operational guidance model that is instantiated by a BI taxonomy in the cloud and from that rules for BI migration to the cloud are arised

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Chovanec, Marek. "Integrace SAP Business Warehouse do ERP systému SAP." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417680.

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Diploma thesis aims on integration of business intelligence solution into existing SAP environment. It contains solution proposal, detailed description of implementation steps and analysis of time sources and costs. I described the best practises in order to ensure smooth running of the system through its life cycle.

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Dulgher, Mustafa Ludmila. "REALTIDS BUSINESS INTELLIGENCE : Förändring av Besluts- och Affärsprocessen vid Införandet av en Realtids Business Intelligence System." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-9486.

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Business Intelligence och realtids Business Intelligence har blivit ett område som allt fler företag intresseras av. Forskningen idag involverar en rad företag som koncentrerar sig på stora kund-, produkt- och tjänstevolymer. Ett av dessa företag är flygbolaget Continental Airlines. Detta bolag har funnit sju faktorer som bör beaktas då en realtids BI-lösning ska anammas. Detta arbete kommer att lägga fokus på en av dessa faktorer. Denna faktor säger att realtids BI endast levererar något värde om besluts- och affärsprocessen ändras i enlighet med den IT-lösning som införs i företaget. Under denna studie kommer det att undersökas hur denna faktor fungerar i mindre organisationer. Behöver mindre organisationer ändra sina processer vid införandet av en realtids BI-lösning och i så fall i vilken utsträckning ska dessa ändras. Det här projektet innebär ett samarbete med Svenska Kyrkan i Lidköping som utgör den mikromiljö som den ovan nämnda faktorn kommer att testas på, samt iP1 Networks AB som har utvecklat realtids BI-lösningen Svenska Kyrkan i Lidköping är intresserade av.

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Yoo, Sam, and Petter Naef. "Agila Business Intelligence System : Kritiska framgångsfaktorer." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-37457.

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Agila Business Intelligence System (ABIS) är en relativt ny och komplex typ av informationssystem, som kännetecknas av förkortade utvecklingstider, genom att exempelvis införa mer självbetjäning i de analytiska systemen, för att kunna möta ett behov av att analysera omvärldsfaktorer, som förändras i en allt snabbare takt. Eftersom ABIS är ett nytt och relativt outforskat område, finns ett behov av att utforska detta område. IT-investeringar är alltför ofta olönsamma och finns ett intresse av att visa på vad som bidrar till ett framgångsrikt införande av ett ABIS och på vilket sätt. Syftet med denna fallstudie var att identifiera högt rankade och gemensamma faktorer baserat på de kritiska framgångsfaktorer som belagts av tidigare forskning inom ABIS, beskriva hur dessa bidragit till ett framgångsrikt införande samt utröna skillnader och/eller likheter mellan hur dessa faktorer verkar ur kund- respektive leverantörsperspektiv. Som underlag för denna studie användes framför allt tidigare forskning kring kritiska framgångsfaktorer för Business Intelligence System. Speciellt en modell som utvecklades 2010 av Yeoh och Koronios användes som utgångspunkt för att lista de potentiella faktorer, som skulle beaktas av denna studie. Denna undersökning genomfördes som en fallstudie med hjälp av ett företag, som både levererar konsulttjänster och ABIS. En Delphipanel användes för att sortera fram framgångsfaktorer, som sedan studerades närmare genom semistrukturerade intervjuer för hur dessa kritiska framgångsfaktorer bidragit till ett framgångsrikt införande av ABIS från dels ett kundperspektiv, dels ett leverantörsperspektiv. De två faktorer som rankades högt och samtidigt delades av samtliga respondenter var: affärsvision och planer datakvalitet och dataintegritet Kundperspektivet var det styrande och leverantörens roll var ordentligt förstå kundens perspektiv, för att på så sätt framgångsrikt införa ABIS. Affärsvision och planer var av betydelse för att koppla införande till kundens målsättningar. Datakvalitet och dataintegritet var den mest betydelsefull faktorn utifrån den resursfördelningen skedde inom ett införandeprojekt för ABIS. An Agile Business Intelligence System (ABIS) is a relatively new and complex type of information system, which is characterized by shortened development times, for by example introducing more self-service in the analytical systems, in order to meet the need to analyze the business environment, which is changing at an even faster pace. As the ABIS is a new and relatively uncharted area there is a need to explore this area. IT investments are too often unprofitable and there is an interest to show what contributes to a successful implementation of an ABIS and in which manner. The purpose of this case study was to identify highly ranked and common critical success factors based on the critical success factors faced by previous research in ABIS, describe how these contributed to a successful introduction of the system and examining differences and / or similarities between how these factors act from customer and supplier perspective. Earlier research on critical success factors for business intelligence systems was used as a basis for this study. Especially the model developed in 2010 by Yeoh and Koronios was used as a starting point to list potential factors to be considered by this study. This study was conducted as a case study with the help of a company that delivers both consulting services and ABIS. A Delphi panel was used to shortlist two success factors, which were then studied in more detail in semi-structured interviews to describe how these contributed to the successful introduction of ABIS from both a client as well as a supplier perspective. The two factors that both ranked high and were common for all respondents were: Clear vision and well-established business case Data quality and data integrity The leading perspective was the customer and the supplier role was to properly understand the customer perspective in order to successfully introduce ABIS. The vision and business case were important to link the introduction ABIS to client objectives. Data quality and data integrity was the most significant factor on the basis of the resource allocation of implementation projects for ABIS.

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Reyes, Eumir P. (Eumir Paulo Reyes Morales). "A systems thinking approach to business intelligence solutions based on cloud computing." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59267.

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Thesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2010. Cataloged from PDF version of thesis. Includes bibliographical references (p. 73-74). Business intelligence is the set of tools, processes, practices and people that are used to take advantage of information to support decision making in the organizations. Cloud computing is a new paradigm for offering computing resources that work on demand, are scalable and are charged by the time they are used. Organizations can save large amounts of money and effort using this approach. This document identifies the main challenges companies encounter while working on business intelligence applications in the cloud, such as security, availability, performance, integration, regulatory issues, and constraints on network bandwidth. All these challenges are addressed with a systems thinking approach, and several solutions are offered that can be applied according to the organization's needs. An evaluations of the main vendors of cloud computing technology is presented, so that business intelligence developers identify the available tools and companies they can depend on to migrate or build applications in the cloud. It is demonstrated how business intelligence applications can increase their availability with a cloud computing approach, by decreasing the mean time to recovery (handled by the cloud service provider) and increasing the mean time to failure (achieved by the introduction of more redundancy on the hardware). Innovative mechanisms are discussed in order to improve cloud applications, such as private, public and hybrid clouds, column-oriented databases, in-memory databases and the Data Warehouse 2.0 architecture. Finally, it is shown how the project management for a business intelligence application can be facilitated with a cloud computing approach. Design structure matrices are dramatically simplified by avoiding unnecessary iterations while sizing, validating, and testing hardware and software resources. by Eumir P. Reyes. S.M.in System Design and Management

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Hejdánek, Michal. "Návrh controllingové koncepce s využitím systému "Business intelligence"." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-360577.

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The Master Thesis deals with the use of the controlling concept in business management, Business Intelligence systems and their interconnection. The aim is to propose this integration link on the example of a particular company and at the same time to give management recommendations in areas that will be evaluated in the analysis as insufficient. The theoretical part of this thesis is divided into three main chapters. The first deals with the definition of controlling, its tools and organizations. The second one describes business intelligence, not just the basic principles of this technology, but also the choice of tools and the implementation process are explained. The following chapter lists two software tools that combine controlling and business intelligence in practice. The practical part is divided into a general description of the company, analysis of the applied elements of controlling and then the proposal of solution of insufficient areas and the process of BI implementation, which contains 12 steps which would enable to implement the BI concept.

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McHenry, John James. "Exploring Best Practices to Utilize Business Intelligence Systems." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2742.

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Organizational leaders who can manage business intelligence system (BIS) resources may achieve sustainable success in economic, political, and corporate environments. The review of professional literature indicated that effective resource management in a BIS environment requires the establishment of best practice. The purpose of this qualitative, single-case study was to explore best practices among 9 BIS practitioners for effective resource management. Participation criteria included the active engagement in BIS professional disciplines and the willingness to share their perspectives. The conceptual framework for this study was the cognitive experiential self-theory (CEST). Five leaders and 4 data analysts at an eastern U.S. county government agency were interviewed. Using computer based qualitative data analysis software to assist with the coding process, interview transcripts and the published directives of government agency leaders were reviewed to identify themes and achieve triangulation. Five themes emerged: the need for comprehensive policies and procedures for creating operating standards, updated data acquisition training, human capital dynamics management for improved efficiency, protocols for transforming raw information into knowledge, and safeguards for preventing bias in data analysis. Findings derived from this study could contribute to global social change as BIS leaders use best practices to improve resource and data management proficiencies for rapidly transforming information into knowledge for developing policies, services, and regulations that affect public safety, fiscal planning, and social risk management.

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Johansson, Christoffer. "Self service business intelligence : Grundkompetenser för slutanvändare." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15630.

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Organisationer vill hela tiden bli effektivare i allt de gör även när det kommer till business intelligence. För att effektivisera beslutstödsprocessen har organisationer börjat gå över till selfe service business intelligence där personer på en operativ nivå skapar sina egna rapporter och gör sina egna analyser. När detta sker uppkommer nya moment för personalen i organisationen och de behöver skaffa sig nya kompetenser. Vilka kunskaper behöver egentligen personalen skaffa sig? Det är det som undersöks i det här arbetet. Undersökningen kommer genomföras med hjälp av en fallstudie. Litteratur kommer att granskas och intervjuer kommer att genomföras med personer som arbetar med beslutstöd. Arbetet undersöker vilka kompetenser som krävs av en slutanvändare men exkluderar hur de skaffar sig dessa kompetenser. Resultatet visar att det finns tre stycken huvudkategorier av kompetenser dessa är tekniska kunskaper, verksamhetskunskaper och analytiska förmågor. Under dessa kategorier finns sedan sex stycken kompetenser; Verksamhetsdata, BI-verktyget, Datavana, Verksamheten, Branschkunskap och Analytisktänk.

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Kölbrant, Oskar. "Framgångsfaktorer för dashboard projekt inom business intelligence : Faktorer som bör uppmärksammas inom Business Intelligence projekt." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18650.

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Business Intelligence (BI) har blivit en stor byggsten för många företag och en viktig aspekt är att det implementeras rätt så att beslutsfattare kan ta del av data för att fatta faktabaserade beslut. Detta data behöver beslutsfattare och övriga i ledningen ha tillgång till och kunna förstå det utan problem. Ett sätt att undvika problematiken med data är att visualisera det i form av grafer för att ge en överblick och förenkla analysuppgiften i en dashboard. Att skapa dessa dashboards har genom tidigare forskning visat sig vara problematiskt genom att lösningen i slutet inte bidrar med den analytiska förmåga som önskas. För att kunna dra nytta av en dashboard krävs det att de skapas på ett korrekt sätt avseende användning och analysförmåga. Detta leder till att denna studie kommer besvara frågan: Vilka framgångsfaktorer finns för att framgångsrikt driva ett BI-projekt sett från en dashboardutvecklares perspektiv? För att undersöka problemet kommer en litteraturanalys utföras tillsammans med en fallstudie med intervjuer baserade på det som kommer från litteraturanalysen. Intervjun kommer undersöka vad frontend-utvecklare identifierar för framgångsfaktorer med implementation av dashboards. Resultatet som kom fram från studien och med hjälp av det insamlade materialet och utförd analys är en modell över de framgångsfaktorer som påverkar ett dashboard projekt. Resultatet framkom genom att analysera alla respondenters svar för att identifiera återkommande fraser och ord respondenterna nämnde. Dessa fraser och ord sammanställdes till en tabell som senare ledde vidare till den slutgiltiga resultat modellen. Business Intelligence (BI) has become a more important building block for many companies and an important aspect is that it is implemented correctly so that decision makers can make decisions based on facts rather than intuition. This data is needed for decision makers and other people in the management team and also be able to understand this data without any bigger issues. One way to avoid issues with the understanding of data is to visualize it into graphs to give a fast overview and to simplify analysis of data in a dashboard. To create said dashboards has been identified by earlies research to be problematic in the sense of the solution not contributing to the analytic capability that are desired. To be able to get any sort of benefit from the dashboard it is necessary that it is built correctly with usage and analysis in mind. This leads to the question that this study aims to answer: Which success factors contributes to successfully manage a BI-project as seen from a dashboard developers point of view? To investigate the issue a literature analysis together with a case study making use of interviews based on what is gathered from the literature analysis. The interviews will investigate the factors that dashboard developers has experienced themselves whilst implementing dashboards. The result from the study and with help from the data gathered via the interview and the analysis process a model could be formed showing the success factors that has an effect on dashboard oriented projects. The result came through by analyzing all of the answers from the respondents to identify reoccurring phrases and words that they mentioned. These phrases and words were put together into a table which eventually led to the finalized model.

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Akhigbe, Okhaide Samson. "Business Intelligence - Enabled Adaptive Enterprise Architecture." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31012.

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The desire to obtain value and justify investments from the different Information Systems in place in organizations has been around for a long time. Organizations constantly theorize and implement different approaches that provide some sort of alignment between their different business objectives and Information Systems. Unfortunately, the environments in which these organizations operate are often dynamic, constantly changing with influence from external and internal factors that require continual realignment of the Information Systems with business objectives to provide value. When businesses evolve, leading to changes in business requirements, it is hard to know what direct Information System changes are needed to respond to the new requirements. Similarly, when there are changes in the Information System, it is not often easy to discern which business objectives are directly affected. Whilst the different Enterprise Architecture frameworks available today provide and propose some form of alignment, in their implementation, they do not show links between business objectives and Information Systems, i.e., indicating what Information System is directly responsible for different business objectives thereby allowing for anticipation and support of changes as the business evolves. This thesis utilizes insights from Business Intelligence and uses the User Requirements Notation (URN), which enables modeling of business processes and goals, to provide a framework that exploits links between business objectives and Information Systems. This Business Intelligence - Enabled Adaptive Enterprise Architecture framework allows for anticipating and supporting proactively the adaptation of Enterprise Architecture as and when the business evolves. The thesis also identifies and models levels within the enterprise where responses to change as the business evolves are needed and the ways the changes are presented. The tool-supported framework is evaluated against the different levels and types of changes on a realistic Enterprise Architecture at a Government of Canada department, with encouraging results.

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Halvarsson, Eklund Tom, and Julia Sjövall. "Datakvalité : En nödvändighet inom Business Intelligence." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388126.

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Business Intelligence (BI) syftar till att förädla data för att förbättra det organisatoriska beslutsfattandet. Bristande datakvalité orsakar många misslyckade BI-projekt och studier belyser att säkerställande av data av hög kvalité är grundläggande för att lyckas inom BI. Uppsatsens syfte var därför att skapa en förståelse av praktiska tillvägagångssätt för en sådan säkerställning. Begreppet datakvalité kan brytas ner i dimensioner för att göra det mer hanterbart, och denna studie bygger på vad som tidigare tagits fram som nyckeldimensioner. Intervjuer genomfördes med fyra konsulter med expertis och lång erfarenhet inom BI. Utöver en effektiv ETL-process och kontroller i BI-systemet, genomsyras resultatet av ett behov av förarbete inför lagring i källsystemen samt kontinuerliga avstämningsrutiner. Detta för att möjliggöra säkerställandet av data av hög kvalité i större utsträckning. Indikationer ges även på att tillvägagångssätt för att säkerställa data av hög kvalité styrs av de krav som ställs på datat för att det ska vara användbart för dess avsedda syfte.

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Shahini, Rei. "Business Intelligence in the Hotel Industry." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-100845.

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Applications of artificial intelligence (AI) in hospitality and accommodation have taken an enormous percentage of service-provision, helping automate most of the processes involved such as booking and purchasing, improving the guest experience, tracking of guest preferences and interests, etc. The aim of the study is to understand the roles, benefits and issues with the improvement of business intelligence (BI) in hospitality. This research is purposed to discover the applications of BI in hotel booking and accommodation. The investigation focuses on hotel guest experience, business operations and guest satisfaction. The research also shows how acquiring proper BI is supported by implementing a dynamic technology framework integrated with AI and a big data resource. In such a system, the intensive collection of customer data combined with an improved technology standard is achievable using AI. The research employs a qualitative approach for data discovery and collection. A thematic analysis helps generate proper findings that indicate an improvement in the entire hospitality service delivery system as well as customer satisfaction. In this thesis, there are examined various subsets of BI in tourism. The assessment analyzes competition arising from the application of these technologies. The study also shows the importance and application of harnessing data to gather insights about guest interests and preferences through the establishment of well-developed BI. Insights enable the customization of hotel services and products for individual guests. There is a considerable improvement in guest services and guest information collection, which is achieved through the creation of guest profiles. The research performs a discussion on the incorporation of AI and big data among other sub-components in creating diversified BI and seeks to identify the need for current BI applications in the hotel industry.

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Sangupamba, Mwilu Odette. "De la business intelligence interne vers la business intelligence dans le cloud : modèles et apports méthodologiques." Thesis, Paris, CNAM, 2018. http://www.theses.fr/2018CNAM1168/document.

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La BI et le cloud computing sont deux grands sujets de recherche en informatique et en système d’information en particulier. Une recherche combinant ces deux concepts est d'un intérêt double : D’une part, dans les entreprises, la BI devient de plus en plus une partie importante du système d'information qui nécessite des investissements en termes de performances de calcul et des volumes de données. D’autre part, le cloud computing offre de nouvelles opportunités pour gérer les données à des fins d’analyse.Etant donné les possibilités de cloud, la question de la migration de l'ensemble du système d’information y compris la BI est d'un grand intérêt. En particulier, les chercheurs doivent fournir aux professionnels des modèles et des méthodes qui puissent les aider à migrer vers le cloud.Que faire pour que la BI puisse fournir aux managers un service de mise à disposition de données d’analyse au travers du cloud ? La question de recherche est : Comment aider les organisations à migrer leur BI vers le cloud ?Dans cette thèse, nous répondons à cette question en utilisant l'approche science de conception (design science). Nous mettons en place une aide à la décision de la migration de la BI vers le cloud qui s'appuie sur les taxonomies. Nous proposons un modèle de guidage opérationnel qui est instancié par une taxonomie de la BI dans le cloud et dont découlent les règles pour la migration de la BI vers le cloud BI and cloud computing are two major areas of computer science research and in particular in information system. A research combining these two concepts has a double interest : On the one hand, in business, the BI becomes increasingly an important part of the information system which requires investment in terms of computing performance and data volumes. On the other hand, cloud computing offers new opportunities to manage data for analysis.Given the possibilities of cloud, migration question of the information system including BI is of great interest. In particular, researchers must provide models and methods to help professional in BI migration to the cloud.The research question is : how to migrate BI to the cloud?In this thesis, we address this issue using design science research approach. We implement a decision-making help for BI migration to the cloud based on taxonomies. We provide an operational guidance model that is instantiated by a BI taxonomy in the cloud and from that rules for BI migration to the cloud are arised

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Prchlík, Tomáš. "Vývoj a význam Business Intelligence v období ekonomické krize." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-85277.

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The goal of this thesis is to create a comprehensive overview of how the economic crisis influenced the business intelligence market. The introduction is dedicated to the general principles of the business intelligence technologies. It is followed by analysis and identification of the commercial sector's problems associated with the recent economic decline as well as shortcomings that the corporate executives commit in the times of economic growth, and a proposal of solutions to these problems using Business Intelligence applications. The next part of the work is focused on the global analysis of benefits of the solutions and their future development. The final part of the thesis serves as an argument to highlight the importance of BI and is demonstrated on several examples of successful BI implementations in various businesses operating in different sectors. The thesis aims not only to analyze and document the development and changes in the understanding of Business Intelligence during the economic crisis but it should also motivate potential readers from among the management to consider whether they should also support the acquisition of BI in their businesses. This document should prove that if they invest in Business Intelligence in times of crisis then they might not need to implement unpopular solutions to their problems. The relevance of this subject is only underscored by the fact that unless the development of the world economy improves its current course, we might find ourselves at the beginning of another, perhaps even more significant crisis. The appendix summarizes the BI applications' inputs, different processing and information analysis methods, and the possibility of using their outputs to improve the operation of the enterprise.

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Chasalow, Lewis. "A MODEL OF ORGANIZATIONAL COMPETENCIES FOR BUSINESS INTELLIGENCE SUCCESS." VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/1723.

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Business intelligence (BI) systems comprise one of the largest and fastest growing areas of IT expenditure in companies today. Companies’ experiences with deriving benefits from these systems are still mixed. One of the differences between BI and other types of information systems is that how BI systems are used, not just whether they are used, can have a major impact on the benefits derived. Therefore the characteristics of BI users and the organizations within which they work can have a disproportionate impact on the benefits derived from investments in BI. Organizational competence is one way to evaluate the characteristics of individuals and organizations relative to their ability to achieve organizational goals. This dissertation examines the characteristics of BI users and their organizations within the framework of organizational competences. Models representing those competences at both the individual and organizational level are presented. A combined competency model and resulting emerging competences are proposed that, if adopted, can improve the likelihood of organizations realizing benefits from their BI investments.

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Machat, Sebastian. "Implementace Business Intelligence řešení nad daty z provozu parkoviště." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-358773.

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In the world of increasing car sales and limited count of available parking spaces it is hard to imagine the parking space management issues would fade away anytime near. In a simi-lar way the Business Intelligence holds its position as one of the continuous trends in company IT environment. After the parking space navigation systems started to make its first appearance into the public parking lots, it started to be clear that their outputs could be potentially used to gain new information about the way the drivers behave and how the parking space is being used. That is the reason this thesis covers the field of acquirement of data from the parking space navigation system and its initial analytical use using the BI tools. Following the theoretic introduction of both Business Intelligence and BI project management comes the detailed info about the parking space navigation systems & the parking lot covered in the practical part of this text. These are followed by details of how the data collection procedures and navigation system data processing should be handled to allow building and filling of the data warehouse. On top of this DWH the analytic layer is both designed & implemented, followed by reports providing the information parking space owner requested. As the data warehouse contains a lot of additional data with expected possible use in the analytic processing, ie. using data mining tools, the last part of the thesis covers specifying single research question about the data available, which is later confirmed/denied using statistical analysis.

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Leo, Gustav. "Self-service business intelligence : Viktiga Roller inom SSBI." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13917.

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Dagens affärsklimat är under ständig utveckling och för att möta den ökade konkurrensen är det viktigt för verksamheter att snabbt kunna fatta beslut som är baserade på data. Utmaningarna i detta medför att verksamheternas arbetssätt måste bli mer innovativt för att snabbare kunna anpassa verksamheten. Traditionell business intelligence (BI) där IT-avdelningen oftast ansvarar för att ta fram rapporter åt användarna har svårt att hinna med att skapa rapporter som är nödvändiga för att fatta beslut grundade i data. En lösning på detta problem är att införa Self-Service BI (SSBI) där målet är att låta användarna komma närmre verksamhetens data och på det sätta kunna skapa rapporter utan inblandning från IT-avdelningen. Genom att ta bort IT-avdelningen som mellanhand och flytta ut visst ansvar på verksamhetens avdelningar ställs krav på en tydlig organisation med tydliga roller och detta ligger till grund för den frågeställning som denna studie ska ge svar på som är: Vilka roller krävs för att införa och driva SSBI? Metoderna som valts ut för att kunna ta fram ett svar på denna fråga är systematisk litteraturstudie och fallstudie. Syftet med att genomföra den systematiska litteraturstudien är att analysera vad den befintliga litteraturen tar upp om roller inom SSBI. Fallstudien som består av intervjuer med experter inom SSBI-området syftar till att fånga upp deras erfarenheter och åsikter om det olika roller som är viktiga inom SSBI. Resultatet består av ett framtaget organisationsschema över viktiga roller som behövs för att kunna införa och driva SSBI inom en verksamhet.

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Basra, Rajveer Singh. "A framework for knowledge discovery within business intelligence for decision support." Thesis, Brunel University, 2008. http://bura.brunel.ac.uk/handle/2438/4457.

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Business Intelligence (BI) techniques provide the potential to not only efficiently manage but further analyse and apply the collected information in an effective manner. Benefiting from research both within industry and academia, BI provides functionality for accessing, cleansing, transforming, analysing and reporting organisational datasets. This provides further opportunities for the data to be explored and assist organisations in the discovery of correlations, trends and patterns that exist hidden within the data. This hidden information can be employed to provide an insight into opportunities to make an organisation more competitive by allowing manager to make more informed decisions and as a result, corporate resources optimally utilised. This potential insight provides organisations with an unrivalled opportunity to remain abreast of market trends. Consequently, BI techniques provide significant opportunity for integration with Decision Support Systems (DSS). The gap which was identified within the current body of knowledge and motivated this research, revealed that currently no suitable framework for BI, which can be applied at a meta-level and is therefore tool, technology and domain independent, currently exists. To address the identified gap this study proposes a meta-level framework: - ‘KDDS-BI’, which can be applied at an abstract level and therefore structure a BI investigation, irrespective of the end user. KDDS-BI not only facilitates the selection of suitable techniques for BI investigations, reducing the reliance upon ad-hoc investigative approaches which rely upon ‘trial and error’, yet further integrates Knowledge Management (KM) principles to ensure the retention and transfer of knowledge due to a structured approach to provide DSS that are based upon the principles of BI. In order to evaluate and validate the framework, KDDS-BI has been investigated through three distinct case studies. First KDDS-BI facilitates the integration of BI within ‘Direct Marketing’ to provide innovative solutions for analysis based upon the most suitable BI technique. Secondly, KDDS-BI is investigated within sales promotion, to facilitate the selection of tools and techniques for more focused in store marketing campaigns and increase revenue through the discovery of hidden data, and finally, operations management is analysed within a highly dynamic and unstructured environment of the London Underground Ltd. network through unique a BI solution to organise and manage resources, thereby increasing the efficiency of business processes. The three case studies provide insight into not only how KDDS-BI provides structure to the integration of BI within business process, but additionally the opportunity to analyse the performance of KDDS-BI within three independent environments for distinct purposes provided structure through KDDS-BI thereby validating and corroborating the proposed framework and adding value to business processes.

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Gudfinnsson, Kristens. "Taking Advantage of Business Intelligence in Complex-Systems Environment." Thesis, Högskolan i Skövde, Institutionen för kommunikation och information, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-6032.

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Business intelligence has fundamentally changed how many companies conduct their business. The focus of academic literature has however been on volume-operation companies that provide services to millions of customers. Complex-systems companies have fewer customers and pursue customer needs by providing more customized products and services. The knowledge in the research society is limited to volume-operation companies and there a need for more case studies regarding how companies actually use their information systems, specifically complex-systems companies. This work looks at a case of a complex-systems company with the overall aim to see how complex-systems companies may take advantage of business intelligence. A framework was used to measure BI maturity; expressed future needs were compared to future trends in BI literature and BI usage in specific areas was analyzed with the help of a framework from BI literature. The results indicate that the company is somewhere between Aspirational and Experienced with respect to BI maturity. BI is used for reporting a variety of key performance indicators and the main analysis tool for various calculations is Excel. The expressed future needs are mainly strategy-driven and technology-driven and often involve better and faster access to information. The difference in the business models of volume-operations companies and complex-systems companies could influence the BI maturity and help to explain the maturity difference between these two types of companies. Furthermore, the results indicate that there is a difference between the roles of BI tools in complex-systems companies compared to volume-operations.

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Naidoo, Sherylene Shamma. "Business Intelligence Systems Input| Effects on Organizational Decision-Making." Thesis, Capella University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13805358.

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The purpose of this study was to examine the factors affecting the use of information from business intelligence systems (BIS) on decision-making culture. The relationship between analytical decision-making culture and BIS success factors was measured by data integration, analytic capabilities, information content quality, information access quality, and use of information in business processes. A quantitative statistical analysis approach was utilized to answer one research question. The construct of critical success factors was measured using a predefined model developed by Popovic, Hackney, Coelho, and Jaklic (2012). Survey responses were collected from 227 participants who were decision makers. The responses to the survey indicated a high degree of data integration, analytical capabilities, information content quality, information access quality, use of information in business processes, and analytical decision-making culture within organizations. Notably, the uploaded data reflected that data integration, analytical capabilities, and information content quality were not significantly related to analytical decision-making culture. However, information access quality and use of information in business processes were significantly and positively related to the analytical decision-making culture. With the exponential growth of business intelligence, managers are facing extreme challenges with rapid analytical decision making. Therefore, this study is not only significant to practitioners and the scholarly literature, but it also provided crucial information on BIS success factors for organizations in the Midwestern state.

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Sinaj, Jonida. "Self-Service Business Intelligence success factors that create value for business." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-100076.

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Business Intelligence and Analytics have changed the business needs, but the market requires a more data-driven decision-making environment. Self-Service Business Intelligence initiatives are currently providing more competitive advantages. The role of the users and freedom of access is one of the essential advantages that SSBI holds. Despite this fact, there is still needed analysis on how business can gain more value from SSBI, based on the technological, operational and organizational aspects. The work in this thesis serves to analysis on the SSBI requirements that bring value to business. The paper is organized starting from building knowledge on the existing literature and exploring the domain. Data will be collected by interviewing experts within the BI, SSBI and IT fields. The main findings of the study show that on the technological aspect, data is more governed and its quality is improved by implementing SSBI. Visualization is one of the features of SSBI that boosts quality and governance. On the digital capability aspect, the end-users need training and there is found a rate of impact of SSBI on the main departments in an organization. It is discussed how SSBI implementation affects the companies that do not have BI solution. The final conclusions show that in order for SSBI to be successful, a solid BI environment is necessary. This research will provide future suggestions related to the topic and the results will serve both, the companies that have implemented SSBI and the ones that want to see it as a perspective in the future.

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Stryka, Lukáš. "Návrh využití nástrojů Business Intelligence pro potřeby malé firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2008. http://www.nusl.cz/ntk/nusl-221664.

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This Diploma Thesis deals with analysis of the current processes in small software company. On the basis of the weakness evaluation, the new extensions of the information system are designed. The first extension is new module for on-line sale and cashless on-line payment. The second one is integration of Business Intelligence tools to help streamline marketing strategies of this company.

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Hocko, Martin. "Uplatnenie princípov a nástrojov business intelligence pri riadení nemocničného zariadenia." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-150048.

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Diploma thesis deals with the application of principles and tools of business intelligence in the management and control process of the hospital facilities. In term of the definition of problem areas in the management and control process of the hospital is proposed concept of streamlining the current state, which consists of the methodological unification of the main control and managing areas, in the implementation of consolidated data structure (data warehouse) and reporting tool above the primary systems. Practical application of the analyzed areas is demonstrated in the practical part of diploma thesis, which is devoted to the real implementation of management information system in five regional hospitals in the Czech Republic. The main benefit of this thesis is the definition of the problem areas in the management and control process of hospital facilities, which can be made more effective by applying the principles and tools of business intelligence, and personal appreciation of the author's practical experience with the implementation of business intelligence solutions in healthcare facilities.

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Hartley, Mogamat Kaashief. "An analysis of business intelligence for improved public service delivery." Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/15534.

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The public sector can be described with different types of public policies and by the services the organisations deliver to citizens. Public sector organisations are implementing e-government projects as mechanisms to enhance public service delivery. However, public sector e-government projects in developing countries are highlighted as challenging. Awards of achievement for implementing e-government projects have been noted in the South African public sector. Business Intelligence (BI) for improved public service delivery has been identified as a key tool to improve decision-making processes. Implementing BI in organisations has been revealed as complex. The study of organisational factors that influence the initiative for successful BI implementation is suggested. For this reason, the research sets out to explore the implementation of BI in the public sector in South Africa. The research was conducted through two case studies. Data was collected by conducting semi-structured interviews and document collection with organisations that are implementing BI. A qualitative thematic analysis method was used to construct the major themes that emerged from the data. The research objectives were addressed by constructing three frameworks; to describe what organisational factors influence the BI initiative, the factors that influence the use of BI, and a framework describing the process of implementing BI in the public sector. The Design-Reality gap model was applied to identify risk in the BI projects. The study revealed that BI can be used as an enabler of change and improvement in public sector activities. Consolidating structures, systems and processes was identified as a precursor to implementing BI. However, the level of skills to use BI tools was highlighted as key factor in hindering BI use.

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Ahlrik, Johan. "Ett holistiskt Business Intelligence för användning i Verksamhetsutveckling." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11245.

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Världen förändras. Alla kan kommunicera med alla och kunskap är lättillgänglig. Idag kan vi skicka data mellan varandra med mobiltelefoner utan några direkta geografiska begränsningar och med hastigheter i nivå med vad en vanlig dator gjorde internt mellan processorn och internminnet 1984. Informations- och kommunikations-teknologin har skapat nya förutsättningar för företag att göra affärer samtidigt som den behövs för överlevnad med dagens snabba samhälleliga förändringar. Personalen beskrivs ofta som företagets viktigaste tillgång. Verksamhetens prestation beror mycket på deras engagemang och möjligheter att utföra sina arbetsuppgifter. Samtidigt är det även de som kan sina egna arbetsuppgifter bäst och har mycket kunskap kring hur de kan förbättras. Däremot är det inte så lätt att få fram dessa kunskaper, och som en f.d. koncernchef för Siemens sagt om problematiken: ”Om Siemens visste allt det som Siemens vet skulle vi inte ha några problem”. Den här studien ska utreda hur mobila teknologier kan användas för att ta till vara på personalens inneboende kunskaper på ett systematiskt sätt för att användas med Business Intelligence. Detta för att skapa möjligheter till anpassningsbara och lärande organisationer samt ge förutsättningar för innovativa organisationsstrukturer och affärsmodeller. De slutsatser som dras är att om bara företaget förstår relevansen i att anpassa sig, värdet i personalens inneboende kunskaper samt att de är beredda att ta initiativet, finns det stora möjligheter till att skaffa sig insikter kring sin egen verksamhet vilka kan användas för ständiga förbättringar. Nyckelord: Business Intelligence, Verksamhetsutveckling, Verksamhetsprestation

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Karlsson, Göran, and Joon Karlberg. "Business Intelligence : en diskussion om begreppet och fenomenet." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1036.

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Our aim with this thesis was to closer study business intelligence to be able to present an overview of both the concept and the phenomenon. We have also developed a framework that show how business intelligence can be used effectively. We think that our framework can be of help to under-stand the areas which constitutes the core of business intelligence. We think that the framework we have developed is a good basis for the im-plementation of business intelligence in an organisation and that it also can be of help in the daily business intelligence work. Vårt mål med denna uppsats var att studera business intelligence närma-re för att kunna presentera en övergripande bild av både begreppet och fenomenet. Vi har även tagit fram ett framework för hur en effektiv an-vändning av business intelligence skulle kunna se ut. Vi tror att vårt fra-mework kan vara till hjälp för att förstå de områden som utgör kärnan i business intelligence. Vi tror att det framework vi tagit fram är en bra grund för införandet av business intelligence i en organisation och att det även kan vara till hjälp i det arbete som dagligen utförs gällande business intelligence.

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Andriesse, Carin, and Erika Edvinsson. "Utvärdering av Business Intelligence system ur ett nytto-perspektiv : En studie om hur företag kan utvärdera nyttan av ett Business Intelligence system före och efter en implementation." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-31867.

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Den ökade mängden data i världen leder till att allt fler företag väljer att investera i BI-system som kan stödja hantering och analys av data. Genom att analysera data kan det leda till nytta för företaget som exempelvis bättre kontroll och beslutsunderlag. Samtidigt har utvärderingen av nyttan med systemen inte följt med i samma utveckling som investeringarna. Svårigheten att utvärdera de mjuka och strategiska nyttorna med ett BI-system är en av anledningarna till det. Genom att utvärdera ett BI-system kan företag få en uppfattning av vilka nyttor som uppnåtts och om ytterligare aktiviteter krävs för att öka nyttan. En kvalitativ intervjustudie har utförts på stora tillverkande företag och konsultföretag för att se hur arbetet med utvärdering av nyttor med BI-system går till i praktiken. Studien inkluderar utvärdering både innan och efter en implementation och resulterar i rekommendationer. Studiens resultat visar att det kan skilja sig hur små företag och stora tillverkande företag använder BI-systemet och därmed hur utvärdering bör ske. Det har även påvisats att det bör ske ökad utvärdering efter att BI-systemen införts i företaget. Genom att inkludera utvärdering av delar som påverkar möjligheten att uppnå nytta, såväl som delar som kan påverka utvärderingen, leder det till en mer realistisk utvärdering och därmed en större chans för företag att öka nyttan med sitt BI-system. The growing amount of data in the world leads to an increasing amount of investments in BI-systems, which can support management and analysis of data. Businesses can experience benefits such as better control and decision base when they analyze their data. The evaluation of BI-systems has fallen behind at the same time as investments in these systems has increased. The difficulty in evaluating the soft and strategic benefits of a BI-system is one of the reasons for the lack of evaluations. Evaluation can give businesses a notion of which benefits that they have achieved and if further activities are needed to increase the benefits of the BI-system. A qualitative interview study has been carried out on large manufacturing businesses and consulting businesses, with the purpose to study how the evaluation of BI-system benefits are being done in practice. The study include evaluation before and after an implementation of a BI-system and results in recommendations. The result of the study shows that there can be differences in the way small and large manufacturing businesses use the BI-system and therefore also differences in how to perform the evaluation. The study has also established that more evaluations should be done after the BI-system has been implemented. Evaluation of parts that affect the possibility to achieve benefits as well as parts that affects the evaluation results in a more realistic evaluation, and a greater chance for the business to increase the benefits of their BI-system.

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Clavier, Pamela Rose. "A service-dominant logic approach to business intelligence." Thesis, University of Pretoria, 2012. http://hdl.handle.net/2263/24260.

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Although Business Intelligence (BI) is highly promoted and praised, organisations implementing a BI solution do not always achieve expected benefits. Instead, numerous reports of failed BI implementations and challenges prevail. Even organisations indicating they receive benefit from their BI solutions strive for improvement in BI. This highlights a need for BI to improve and for it to overcome its challenges. In response, this thesis proposes a paradigm shift for BI. It provides a literature and case study, representing an interpretive enquiry using a qualitative research approach. The case study is set within a large South African bank, extending to BI vendors providing BI solutions to the bank. Two scenarios are used to compare the views of BI providers and BI customers. In one scenario, the bank’s internal BI departments represent the BI provider view, providing BI to other departments within the bank as their BI customers. In the other scenario, the BI vendors represent the BI provider view and the BI customer view is represented by the bank’s BI departments as well as other internal bank departments – who are also the BI customers of the BI departments. The thesis starts by identifying BI’s prevailing challenges, highlighting the restrictive tendency evident within BI literature and practice whereby typical Information System (IS) challenges are raised as BI challenges. Challenges are then examined to understand their BI-specific aspects and to identify a list of BI’s prevailing challenges. The thesis then examines current measures proposed to address BI’s challenges, establishing that these are largely ineffective. Rather than attempt to resolve BI’s challenges in the same manner as previous attempts do, this thesis then analyses BI at a conceptual level to reveal a common worldview of BI held by BI practitioners and academics. It is identified that this common worldview is predominantly based on a Goods-Dominant (G-D) Logic, resulting in many of BI’s challenges. A suggestion is made to shift this worldview to a Service-Dominant (S-D) Logic. Although S-D Logic is not a new lens, it has not yet been explicitly applied to BI or a BI-related discipline at a conceptual level, offering the opportunity to examine BI from a new perspective wherein new insights to address BI’s persistent challenges emerge. Thesis (PhD)--University of Pretoria, 2012. Informatics unrestricted

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Opoku-Anokye, Stephen. "A framework for integrating business intelligence into information systems design." Thesis, University of Reading, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.658002.

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This research identifies the key components necessary for the integration of business intelligence (BI) into the design of information systems (IS) applications, which are used to develop a new framework for integrating BI into IS design (FIBIISD). The research observed a trend, whereby, the design of BI is treated as an afterthought to the design of IS applications. Currently, BI requirements are given almost negligible consideration during the design of IS applications. Bf requirements are considered, when stakeholder groups of the already implemented IS applications begin to make demands for capabilities to report, inquire, analyse, synthesise or explore information held in such IS applications. Thus, BI design is done, mostly, after the design and implementation of Is applications. Often, when a number of disparate IS applications have been in use for a while and are generating varieties of data at high volumes and velocity. Such approach to BJ design creates many problems that may not be immediately understood or appreciated by either the designers or the many stakeholder groups involved in taking business actions, making business decisions and managing business performance. The question this research sought to answer was whether BI requirements could be considered during the IS application design phase? Therefore, the research combined practical observations with the examination of published literature from academia and industry. The focus of such practical observations and literature review converged on the need to integrate BI requirements into the design of IS applications.

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Švec, Richard. "Zhodnocení stavu systému Business Intelligence a návrhy na jeho zlepšení." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-264581.

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This thesis analyzes the situation in the area of Business Intelligence at O2 Czech Republic. It focuses on identifying key issues and finding solutions to the overall improvement of the service within the company. It can be a guide for managers on how to proceed in the analysis of the BI environment, finding opportunities for improving organization setup and technical aspects, especially in the data warehouse solution. Here one can also find recommendations on how to proceed with the definition of development methodologies and how to effectively set the tools and processes associated with the development of the data warehouse. This approach results in an efficient, clearly documented and sustainable development concept of the data warehouse in a large company.

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Zemanovičová, Monika. "Řízení informačních toků využíváním systému Business Intelligence ve vybrané firmě." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2015. http://www.nusl.cz/ntk/nusl-224861.

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This diploma thesis proposes usage of Business Intelligence tools in the chosen company. It considers the costs for installing, assesses the economic benefits and based on the analysis, it proposes appropriate solutions to the currently unsatisfactory situation in the company.

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Wännberg, Gottfrid, and André Forslöf. "Behovet av NoSQL-databaser hos Business Intelligence-företag : Studie som undersöker behovet av alternativa databaser inom Business Intelligence-området." Thesis, Umeå universitet, Institutionen för informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-171292.

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This study presents perceptions towards non-relational, or just NoSQL, databases in IT- and Business Intelligence companies, where we try to determine the need for NoSQL databases in these areas. Earlier studies indicate that the rise of Big Data will force companies to sooner or later expand their data storages to be able to handle the vast amount of data that will emerge, and to find ways to easily manage it. With this in mind, we wanted to determine why some Business Intelligence-companies still had not implemented non-relational databases in their systems, what this would implicate and how necessary it actually is. Our study included a case study at a Business Intelligence-company that still had not adopted these relatively new kinds of databases. First we used a survey to get an idea of what kind of knowledge concerning NoSQL-databases the employees at the company actually had, and to help us create questions for the interviews that would be the next step in our study. Through the interviews we had with three consultants and two developers we gathered a lot of interesting data concerning the company’s attitude towards implementing alternative databases in the system as a complement to their current SQL-based databases. For example, the low level of knowledge about NoSQL-databases of the employees showed a lot of preconceptions and assumptions about these alternative databases, that by extension led to a very skeptical attitude towards them. We learned however that the employees, especially the consultants, worried about the growing amount of data, which already was becoming laborious, and we estimate that companies that has not adopted a solution for this will eventually reach an inflection point where the amount of data will exceed the company’s ability to handle it. På grund av rådande pandemi (covid-19) hölls Studentkonferens Examensarbete i informatik 2020 genom videokonferens (Zoom)

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Hedenstrand, Alex. "The Intelligent Enterprise Resource Planning System from a Business Perspective." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-78993.

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Businesses are faced with an ever-changing environment of technology, one of these recurring changes is in the field of Enterprise resource planning (ERP) systems. Technologies such as business intelligence (BI), machine learning (ML) and internet of things (IoT), which are driving forces in shaping the next generation of ERP systems. These improved ERP systems can better support a company compared to a traditional ERP system. This thesis has examined what constitutes an intelligent-ERP and what possibilities it presents from a business perspective. To answer this question, a qualitative study approach was chosen by conducting interviews with professionals within the BI and ERP systems field. The interviews were structured in a loose fashioned way, aiming for a holistic perspective of the I-ERP systems phenomenon. This bachelor thesis transpired to show that I-ERP systems do improve business performance for companies that exhibit the needs. However, there occurred differences in the perception of the definition of how I-ERP systems should be defined between the participants and the literature.

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Turjaka, Fisnik. "Påverkan av kritiska framgångsfaktorer för mobilt business intelligence." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-9425.

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Abstract:

Det blir allt vanligare att företag väljer att använda mobila applikationer för att underlätta beslutstödshanteringen utanför kontoret. Dessa applikationer är så kallade mobilt business intelligence lösningar som är starka verktyg för att kunna fatta beslut oavsett vart anställda befinner sig. I och med att mobilt business intelligence (MBI) börjar bli allt vanligare bland företag idag så är det väldigt användbart att känna till faktorer som gör det lättare att nå framgång med MBI. Idag finns det väldigt lite forskning kring framgångsfaktorer för att lyckas med MBI lösningar. Därför har denna studie behandlat ett par framgångsfaktorer inom området system innehåll och kvalitet för att ta reda på hur kritiska vissa befintliga faktorer egentligen är för att lyckas med MBI lösningar i dagens företag. Resultatet visade sig att vissa av framgångsfaktorerna så som stöd för interaktiva konferenser var mindre betydelsefulla jämförelse med andra framgångsfaktorer för att nå framgång med MBI. Studien tar även fram problem och svårigheter som nätverksproblem, extra arbete prestanda försämring med flera som kan uppstå med att uppnå kritiska framgångsfaktorer.

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Dissertations / Theses on the topic 'Système Business Intelligence'

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