Дисертації з теми "Business intelligence Information resources"
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Elias, Marlene, and Magnus Wretlund. "Business Intelligence som del i skapandet av konkurrensfördelar." Thesis, Mälardalen University, School of Sustainable Development of Society and Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9830.
Повний текст джерелаProblem/frågeställningar: När företagsledare runt om i världen ska ta beslut uppgår 40% av dessa beslut till att baseras på magkänslan. Ett påstående kring konkurrensfördelar och magkänsla är att ”ett av de största hindren för konkurrensfördelar är att agera enbart på magkänsla eller intuition”. Denna uppsats tar fasta på det påståendet och granskar hur BI, ett verktyg som stödjer företagsledarna i sina beslut, spelar in. Ett synsätt för att studera konkurrensfördelar är det resursbaserade synsättet, där resurser följaktligen är grunden i det som skapar konkurrensfördelar. Kombinationen mellan hur BI stödjer med information för att underlätta beslut och faktumet att magkänsla eller intuition hindrar konkurrensfördelar gör att den här uppsatsen ställer sig frågan ”Hur och varför kan BI ur ett resursbaserat synsätt stödja skapandet av konkurrensfördelar på kort samt lång sikt inom stora företag?”
Syfte: Att beskriva samt förklara hur och varför BI ur ett resursbaserat synsätt kan stödja skapandet av konkurrensfördelar på kort samt lång sikt inom stora företag.
Teori/modell och metod: Inom den teoretiska referensramen presenteras och diskuteras först definitionen av BI och dess användning. Därefter följer en presentation av det resursbaserade synsättet utifrån en modell byggd av Hart, vilken kompletteras med annan forskning inom det resursbaserade synsättet. Det genererar sedan en egen modell, som därefter byggs på med en BI-del för att utgöra en undersökningsmodell som används vidare i uppsatsen.
Tillvägagångssätt: För den här uppsatsen har 18 st företag som har någon form av BI på företaget intervjuats. Utöver att företagen är bland Sveriges 120 största har inga vidare urval sett, vilket har resulterat i respondenter från branscher så som media, teleoperatörer och försäkring. På dessa företag har intervjuer skett med den person som ansetts vara BI-ansvarig. Vissa företag har Controllers som är de som har övergripande ansvaret för BI, medan det på andra företag är IT-chefer eller specifikt BI-ansvariga. Inom metodavsnittet förs även en genomgång kring de intervjufrågor som framtagits.
Huvudsakliga resultat/slutsatser: I slutsatserna fastslås bland annat att BI kan stödja och driva på en så kallad patchningsförmåga, vilket innebär att företag är snabba i anpassningen mot marknaden. Därutöver konstateras att en av anledningarna till att BI stöttar skapandet av konkurrensfördelar är dess förmåga att stödja effektivisering, optimering och processinnovation i olika förmågor som senare kan leda till konkurrensfördelar. Dock visar det sig också att BI är sämre på att stödja skapandet av konkurrensfördelar på lång sikt, tack vare avsaknaden av stöttandet till faktorer som gör resurser svåra att imitera.
Problem: When business leaders around the world are about to take a decision, 40% of these decisions are based on gut rather than any rational information. This, together with the claim that “one of the biggest hinders for competitive advantage is acting solely on gut or intuition” leads to the combination of the decision support tool Business Intelligence and competitive advantage. Competitive advantage can be seen from numerous perspectives; one of these is the resource-based view, where the resources are the basic pillar for competitive advantage. From this the thesis study question is formulated; “How and why can BI, seen from a resource-based perspective, support the creation of competitive advantage, on short and long term, in large companies?”
Purpose: To explain and describe how and why BI, seen from a resource-based perspective, can support the creation of competitive advantage, on short and long term, in large companies.
Theory: The theoretical foundation is based upon definitions on BI and what BI really is, together with a presentation and discussion on the resource-based view. Following the BI and resource-based view parts, the research model for this thesis is presented, where a modified resource-based view model for competitive advantage, and a definition collection for BI, is combined.
Method: For this thesis, 18 companies where they have some sort of BI solution implemented, has been interviewed. The companies have been selected based from their size, where the 120 largest companies first were contacted with an interview proposal. The companies are based in industries such as media, telephone communications and insurance. On these companies, the individual that is the “BI responsible” has been interviewed, which varies from company to company. BI responsibles could be Controllers, IT Managers or specific BI Managers.
Conclusions: In the conclusions part of this thesis the research question is divided into a how part and a why part. One conclusion from the how part, is that BI can both support and drive a so-called patching capability, which means that a company can be faster and more agile in their market adaption. One of the reasons why BI can support competitive advantages from a resource-based view is that it can help to drive efficiency, optimization and process innovation in different capabilities that can lead to competitive advantage. Another conclusion is that despite its abilities to support what drives competitive advantage through the resource-based view, the term for this is mainly short-term, due to the fact that it is not hard to imitate the information, which constitutes the basic resources that BI supports.
Hruška, Michal. "Návrh a tvorba Business Intelligence pro řízení lidských zdrojů ve společnosti AVG Technologies." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193349.
Повний текст джерелаIssa, Carla Mounir. "Data warehouse applications in modern day business." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2148.
Повний текст джерелаGustafsson, Daniel. "Business Intelligence, Analytics and Human Capital: Current State of Workforce Analytics in Sweden." Thesis, Högskolan i Skövde, Institutionen för kommunikation och information, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-6034.
Повний текст джерелаSoukup, Tomáš. "Využití metod Competitive Intelligence pro malé a střední podniky." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-85159.
Повний текст джерелаStenborg, Vera, and Louise Högren. "“People analytics kan jämföras med tonårssex: alla pratar om det, ingen har gjort det och ingen vet hur man ska göra” : En kvalitativ studie om hur svenska praktiker upplever people analytics." Thesis, Linköpings universitet, Informatik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-159325.
Повний текст джерелаSewdass, Nisha. "The implementation of Competitive Intelligence tools and techniques in Public Service departments in South Africa to improve service delivery a case study of the Department of Home Affairs /." Thesis, Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-09272009-154654/.
Повний текст джерелаBergdahl, Jacob. "The AI Revolution : A study on the present and future application and value of AI in the context of ERP systems." Thesis, Uppsala universitet, Informationssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354043.
Повний текст джерелаAffärsledare världen runt upplever såväl entusiasm som brådska för att implementera artificiell intelligens (AI). Men den kommande AI-revolutionen är fylld av osäkerheter och miss-uppfattningar. I denna uppsats undersöktes det affärsvärde och den användningspotential som AI har i en kontext av affärssystem (enterprise resource planning system, ERP) genom en fallstudie på en konsultfirma med små- och mellanstora kunder. Tre forskningsfrågor ställdes och besvarades: hur kan organisatoriska processer som täcks av affärssystem komma att gynnas av AI, eller hur gynnas de redan, vilken typ av AI efterfrågar kunder när de beställer affärssystem, och införskaffas AI i syftet att minska kostnader eller öka intäkter? Med hjälp av ett ramverk för dataanalys utforskandes ett flertal organisatoriska processer som täcks av affärssystem genom intervjuer med affärssystemsexperter. Resultatet tyder på att små- och mellanstora företag fortfarande primärt efterfrågar och jobbar med enkla, inkrementella AI-utvecklingar, med syftet att minska kostnader genom automatiseringar. Framtida ledare kan istället komma att vilja implementera AI som fundamentalt återuppfinner organisationens affärsprocesser, med syftet att öka inkomsterna genom att göra personalen kraftfullare. På det stora hela har enbart än så länge endast ett mindre antal organisatoriska processer blivit förbättrade med AI-lösningar i de affärssystem som säljs av konsultfirman som undersöktes i denna studie. Företagets konsulter uttrycker dock starkt positivitet för den outnyttjade potentialen som kan hittas i AI, och fler AI-lösningar för affärssystemen håller på att utvecklas.
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.
Повний текст джерелаDavid, Petr. "Podnikový informační systém v éře cloud computingu." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-82020.
Повний текст джерелаCrossland, Maria. "How business intelligence is adding business value." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/10287.
Повний текст джерелаBusiness 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.
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.
Повний текст джерелаCurrently, 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.
Saedi, Dimen, and Per Danielsson. "Business Intelligence: Understanding disparity in information interpretation." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-66468.
Повний текст джерелаSyftet med denna studie är att förstå hur Business Intelligence och den tillhörande informationen tolkas av två olika grupper av människor - the business users och the technical team i ett BI system. För att uppfylla syftet med forskningen har en analysprocess med en tolkningsmetod utförts. Genom Gioia-metoden har studien genomförts som en enskild fallstudie hos en bemanningsbyrå i Sverige med cirka 800 anställda. Åtta intervjuer genomfördes på företaget med fyra medlemmar från the technical team och fyra medlemmar från the business users. Resultatet av denna studie visar att två aggregerade dimensioner har uppstått - Use of BI och Nature of BI. Den empiriska undersökningen visar en tydlig skillnad mellan the technical team och the business users uppfattning om BI, vilket framhävs av de uppkomna aggregerade dimensionerna och de sammanhängande andra ordningens teman. Avslutningsvis visar detta att det inte bara finns tekniska utmaningar med BI utan även immateriella utmaningar. Det betyder att det finns skillnader i att förstå BI, och att det finns skillnader i tolkningen av den information som BI tillhandahåller.
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.
Повний текст джерелаBailey, Charles W. "Intelligent Multimedia Computer Systems: Emerging Information Resources in the Network Environment." Pierian Press, 1990. http://hdl.handle.net/10150/105658.
Повний текст джерелаJämsén, J. (Jarmo). "Kypsyysmalli asiakkaiden valmiudesta käyttää business intelligence -järjestelmää." Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201402081074.
Повний текст джерелаWall, Nicklas. "The business intelligence mediator." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15093.
Повний текст джерелаSyftet med denna studie är att skapa en positionering av business intelligence i en föränderlig miljö för att påvisa dess påverkade aspekter. Studien är placerad i ett företags pågående förändringsprocess. Undersökningen syftar att harmonisera acceptansen av en teknologisk förändring. Detta genomförs genom att belysa (utvalda) faktorer som genererar en yttring kring osäkerheten av en förändring. Studien utförs för att skapa en så låg kostnad som möjligt, så att verksamheter ska kunna nå sina mål och visioner mer klanderfritt. Denna studie ger riktlinjer för hur ett företagsintelligenssystem (BI system) agerar inom pågående förändringar i en organisation. Förändringsfenomenet kommer att undersökas genom en fördjupad analys av ett företag som befinner sig i initierings- och implementeringsfasen för ett BI-system. Genom att förstå personalens nuvarande tankar och resonemang – och att sedan följa hur dessa indikationer för utveckling besvaras av investeringen. Därav har studien möjlighet att bli placerad inom organisationsförändringsteori. Denna forskning får stöd via ett framväxande, induktivt och kvalitativt tillvägagångssätt, genom att upptäcka begrepp och nyckelfaktorer som finns i det analyserade företaget. I denna studie kommer jag att identifiera faktorer som hör samman med behov. Konklusivt visade sig variabler av proaktivitet, dualitet, riskhantering och tillgänglighet vara inharmoniska faktorer för förändring. Denna insikt blev möjlig via induktiv forskning samt genom tidigare teori. Affärsintelligensen ger en gemensam kunskapspool och utfaller vara en stor medlare för ett företags förändringsprocess. De flesta företag har mängder av information. Praktiskt taget alla organisationer förrättar register över sina transaktioner, kunder och produkter (bland många). Skötsel av all denna information och att bli medveten om datans potential medför att användaren övergår och / eller avancerar till en position av ledning. Användaren och / eller organisationen med makten är den som lyckas. Detta i sin tur kan medföra en starkare förändringsprocess.
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.
Повний текст джерелаKhalaf, 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.
Повний текст джерелаMore 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.
Bobeva, Milena. "A framework for information architecture for business networks." Thesis, Bournemouth University, 2005. http://eprints.bournemouth.ac.uk/348/.
Повний текст джерелаEl, 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.
Повний текст джерелаJohansson, 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.
Повний текст джерелаChasalow, Lewis. "A MODEL OF ORGANIZATIONAL COMPETENCIES FOR BUSINESS INTELLIGENCE SUCCESS." VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/1723.
Повний текст джерелаDulgher, 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.
Повний текст джерелаTaskov, Konstantin. "Organizational factors contributing to an effective information technology intelligence system." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc9733/.
Повний текст джерелаCórdoba-Pachon, José-Rodrigo. "A critical systems thinking approach for the planning of information technology in the information society." Thesis, University of Hull, 2001. http://hydra.hull.ac.uk/resources/hull:5426.
Повний текст джерелаAkhigbe, Okhaide Samson. "Business Intelligence - Enabled Adaptive Enterprise Architecture." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31012.
Повний текст джерелаLeo, 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.
Повний текст джерелаHartley, 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.
Повний текст джерелаOpoku-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.
Повний текст джерелаNaidoo, Sherylene Shamma. "Business Intelligence Systems Input| Effects on Organizational Decision-Making." Thesis, Capella University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13805358.
Повний текст джерелаThe 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.
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.
Повний текст джерелаBusiness 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.
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.
Повний текст джерелаMarjamäki, P. (Pekka). "Evolution and trends of business intelligence systems:a systematic mapping study." Master's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201705031654.
Повний текст джерелаYoo, 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.
Повний текст джерелаAn 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.
Trzeciakiewicz, Agnieszka. "Essays on information asymmetry, agency problem, and corporate actions." Thesis, University of Hull, 2014. http://hydra.hull.ac.uk/resources/hull:10593.
Повний текст джерелаMukhuty, Sumona. "An empirical study of the role of emotional intelligence and effective leadership in a workplace environment of change." Thesis, University of Hull, 2013. http://hydra.hull.ac.uk/resources/hull:7182.
Повний текст джерелаSinaj, 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.
Повний текст джерелаJin, Tao 1971. "An exploratory study on information work activities of competitive intelligence professionals." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=94185.
Повний текст джерелаMalgré l’intérêt grandissant pour la veille concurrentielle, il existe peu d’études empiriques traitant du travail des professionnels oeuvrant dans ce domaine. La présente étude pose trois questions de base: qui sont les professionnels faisant de la veille concurrentielle; quelles sont leurs tâches et activités et comment sont elles réalisées; et finalement, quels facteurs limitent leur performance et capacité de compléter ces tâches et ces activités. À travers le Canada, 28 professionnels de la veille concurrentielle ont été recrutés pour l’étude représentant 24 organisations différentes dans 12 industries générales et 16 de type spécifique. Ces professionnels représentent des analystes, des gestionnaires de l’information, des chercheurs en études de marché, des conseillers stratégiques et des spécialistes de l’information. Leurs objectifs principaux consistent à accroître la conscientisation à l’environnement concurrentiel dans lequel leurs organisations rivalisent et à rehausser la qualité de la prise de décision chez leurs différents clients. Pour atteindre ces objectifs, ils et elles s’impliquent dans dix catégories distinctes d’activités: scruter les nouvelles et gérer une veille informationnelle; gérer des projets; répondre aux demandes d’information ponctuelles; communiquer avec les différentes parties; élaborer des produits de veille concurrentielle; lire et évaluer le matériel diversifié; rédiger et réviser des documents variés; former des employés à la veille concurrentielle; recevoir une formation continue; et s’impliquer dans d’autres activités administratives non-reliées au domaine de la veille. La plupart du temps est consacré à la préparation des produits de veille concurrentielle, aux communications avec les diverses parties, à la gestion de courriel et à la scrutation des nouvelles. La plupart des besoins informationnels des participants ne sont pas individuels mais$
Rubio, Mariana Consoni. "Business Intelligence em redes hoteleiras no Brasil." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/100/100140/tde-25042016-143010/.
Повний текст джерелаIn a time when the production of knowledge is increasingly required for the continued expansion and diversification of lodging facilities, it is interesting to investigate the newly created Intelligence field of Business or Business Intelligence (BI). In hospitality, technology and information systems are used in various fields such as management, pricing, scheduling and operation of strategic information systems to facilitate analysis of key industry performance indicators. The concern revolves around the vast amount of information produced and it is essential to dispose of greater accuracy in decision-making processes. In this context, is proposing a study focusing on the theme Innovation in hotel management in Brazil, with the overall objective to analyse the management of the business intelligence of the chains operating in Brazil. It is a qualitative research, based on literature review and application of questionnaires with the managers of the chains, and thus can map the needs of hotel chains regarding management when evaluating BI practices. As a result, the primary existing BI software in the Brazilian market was identified (Cognos, MicroStrategy, SAS, Business Objects, Oracle Business Intelligence, QlikView, and Pentaho) and the most suitable for every size company. Also, the solutions identified were used for the management of BI information across networks: use of BI software, outsourcing through consultancy and manual data processing systems of the hotel services. Finally, it was evaluated the BI management achievements in the nets, concluding that the BI management implementation - considering the information management linked to IT - bring more benefits than costs to the analysed chains, particularly about providing a more positive decision making
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.
Повний текст джерелаBudree, Adheesh. "A Conceptual Model for determining the Value of Business Intelligence Systems." University of the Western Cape, 2014. http://hdl.handle.net/11394/8376.
Повний текст джерелаBusiness Intelligence refers to the use of Information Systems to enable raw data to be collated into information that can be reported, with the end goal of using this information to enhance the business decision-making process. Business Intelligence is enabled by making use of information that is complete, relevant, accurate, timely and accessible. There are currently a number of documented perspectives that can be used to gauge the value of Business Intelligence systems; however, from an overall business value perspective the most robust method would be to identify and analyse the most commonly identified factors that impact the value assigned to Business Intelligence Systems by a company, and the correlation of each of these factors to calculate the overall value. The importance of deriving a conceptual model, representing the major factors identified from literature and moderated by the quantitative research conducted, lies in its enabling companies and government bodies to assess the true value addition of Business Intelligence systems, and to understand the return on investment of these systems for organisations. In doing so, companies can justify or reject any further expenditure on Business Intelligence. The quantitative research for this thesis was conducted together with a project that was run between the University of the Western Cape and the Hochschule Neu-Ulm University of Applied Sciences in Germany. The research was conducted simultaneously across organisations in South Africa and Germany on the use of BI Systems and Corporate Performance Management. The respondents for the research were Chief Executive Officers, Chief Information Officers and Business Intelligence Managers in selected organisations. A Direct Oblimin-factor analysis was conducted on the online survey responses. The survey was conducted on a sample of approximately 1500 Business Intelligence specialists across South Africa and Germany; and 113 responses were gathered. The factor analysis reduced the key factors identified in the literature to a few major factors, namely: Information Quality, Management and Accessibility, Information Usage, and Knowledge-sharing Culture. Thereafter, a Structural-Equation-Modelling analysis was completed using the Partial-least-Squares method. The results indicate that there is a strong relationship between the factor-Information Quality, Management and Accessibility, and the Value of Business Intelligence. It was found that while there was no strong impact from Information Usage and Culture, there was a strong correlation between Information Usage and Culture and Information Quality, Management and Accessibility The research findings are significant for academic researchers, information technology experts, Business Intelligence specialists and Business Intelligence users. This study contributes to the body of knowledge by bringing together disparate factors that have been identified in academic journals; and assessing the relationship each has on the value of Business Intelligence, as well as the correlations that exist between these factors. From this, the final conceptual model was derived using factors that were identified and tested through the Factor Analysis and the PLS-SEM. The following conclusions can be drawn from the research: (1) The assurance of quality information in the form of complete, accurate, relevant and timeous information that is efficiently managed is the most paramount factor to an organisation deriving value from Business Intelligence systems; (2) information accessibility is key, in order to realise the value of Business Intelligence systems in organisations; and (3) Business Intelligence systems cannot add value to an organisation if a culture of information use and sharing is absent within that organisation. The derived model can be practically implemented as a checklist for organisations to assess Business Intelligence system investments as well as current implementations
Taskov, Konstantin Vedder Richard Glen. "Organizational factors contributing to an effective information technology intelligence system." [Denton, Tex.] : University of North Texas, 2008. http://digital.library.unt.edu/permalink/meta-dc-9733.
Повний текст джерелаClavier, Pamela Rose. "A service-dominant logic approach to business intelligence." Thesis, University of Pretoria, 2012. http://hdl.handle.net/2263/24260.
Повний текст джерелаThesis (PhD)--University of Pretoria, 2012.
Informatics
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Smuts, Martin Bradley. "A framework for the design of business intelligence dashboard tools." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/12941.
Повний текст джерелаWalker, Karen M. "An Analysis of Business Intelligence Maturity, Enterprise Size, and Environmental Factors." Thesis, Capella University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10682877.
Повний текст джерелаBusiness intelligence (BI) maturity for small and medium-sized enterprises (SMEs) is significantly behind larger companies that utilize BI solutions. Successful data oriented business environments require knowledge and insight to understand organizational capabilities. This quantitative correlational study assessed the relationship between variables and BI solutions by examining the independent covariates (size and environment) on the dependent variable of BI maturity. In addition, the research examined the extent that BI maturity is leveraged as an organizational asset. Research questions selected for this study considered the relationship between enterprise size, environment, and SMEs’ BI maturity. Contingency theory was used to examine the relationship between variables, characteristics, and performance. A Qualtrics panel was used to distribute the BI maturity model survey to for-profit employers, with 1000 or fewer employees, located within the state of California. Respondents completed 102 surveys, which served as the data source. Descriptive analysis and chi-square were conducted on a sample size of 102. The results of the study revealed no significant relationship between the dependent and independent variables. While the domains of strategy and quality are findings in this research, this study found a significant relationship does not exist between either the organizational size, environment and SMEs’ BI maturity. Consideration of the implications that are found in this study apply to both covariances (size and environment). These findings strengthen the need for further SME BI research.
De, Jager Tiaan. "The influence of critical success factors on business intelligence net benefits." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/27064.
Повний текст джерелаFelder, Charmaine. "The Potential Role of Business Intelligence in Church Organizations." Walden University, 2013.
Знайти повний текст джерелаDur, Remko Cornelis Johannes. "Business reengineering in information intensive organizations /." [S.l. : s.n.], 1992. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=003902369&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Повний текст джерелаKinberger, Emanuel. "Google Charts-baserad Business Intelligence-lösning för CGI Östergötland." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138510.
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