Academic literature on the topic 'Système Business Intelligence'

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Journal articles on the topic "Système Business Intelligence"

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Mau, Jens. "Brachliegendes Potenzial." kma - Klinik Management aktuell 13, no. 11 (2008): 94. http://dx.doi.org/10.1055/s-0036-1574954.

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Dank Business-Intelligence-Systemen bekommen Entscheider im Krankenhaus gezielte Analysen und Statistiken. Doch die Systeme sind teuer und Extras kosten zusätzlich. Eine Lösung auf Microsoft-Basis ziehen viele nicht in Erwägung – aber es gibt sie. Im Krankenhaus existiert ein schwer zu beherrschender Datenzoo.
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Mollekopf, Heiner. "Nutzen von Business Intelligence-Systemen." ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 104, no. 5 (2009): 411–14. http://dx.doi.org/10.3139/104.110077.

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Chamoni, Peter, and Peter Gluchowski. "Integrationstrends bei Business-Intelligence-Systemen." Wirtschaftsinformatik 46, no. 2 (2004): 119–28. http://dx.doi.org/10.1007/bf03250931.

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Tunowski, Remigiusz. "Organization Effectiveness and Business Intelligence Systems. Literature Review." Management and Business Administration. Central Europe 23, no. 4 (2015): 55–73. http://dx.doi.org/10.7206/mba.ce.2084-3356.157.

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Schwalm, Stephan, and Carsten Bange. "Einsatzpotenziale von XML in Business-Intelligence-Systemen." Wirtschaftsinformatik 46, no. 1 (2004): 5–14. http://dx.doi.org/10.1007/bf03250991.

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Humm, Bernhard, and Frank Wietek. "Architektur von Data Warehouses und Business Intelligence Systemen." Informatik-Spektrum 28, no. 1 (2005): 3–14. http://dx.doi.org/10.1007/s00287-004-0450-5.

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Anurag Reddy Basani, Maria, and Anudeep Kandi. "Data-Driven Decision Making: Advanced Database Systems for Business Intelligence." International Journal of Science and Research (IJSR) 13, no. 11 (2024): 844–50. http://dx.doi.org/10.21275/sr241114034006.

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Grünwald, Markus, and Dirk Taubner. "Business Intelligence." Informatik-Spektrum 32, no. 5 (2009): 398–403. http://dx.doi.org/10.1007/s00287-009-0374-1.

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Herring, Jan P. "Business Intelligence." Journal of Business Strategy 14, no. 3 (1993): 10–12. http://dx.doi.org/10.1108/eb039552.

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Schön, Dietmar, and Bernd Springenberg. "Planung und Steuerung im Controlling-Cockpit der TPPG, ein mittelständisches Handelsunternehmen." Controlling 31, no. 4 (2019): 29–37. http://dx.doi.org/10.15358/0935-0381-2019-4-29.

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Mittelständische Unternehmen benötigen zur erfolgreichen Unternehmenssteuerung leistungsfähige IT-gestützte Controlling-Systeme. Excel und andere suboptimale Systeme müssen konsequent durch Business-Intelligence-Technologie abgelöst werden. Hierzu zählt ein solides Datawarehouse und ein leistungsfähiges Frontend. Dieser Beitrag zeigt am Beispiel der Ter Plastic Polymer Group auf, welche Faktoren zu einer erfolgreichen Umsetzung eines BI-gestützten Controlling-Cockpits notwendig sind.
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Dissertations / Theses on the topic "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 ch
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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
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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).<br>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
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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 Rah
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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 ch
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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.<br>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 chan
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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.<br>"February 2010." Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 60).<br>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 dat
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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 red
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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 öka
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Books on the topic "Système Business Intelligence"

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Burmester, Lars. Adaptive Business-Intelligence-Systeme. Vieweg+Teubner, 2011. http://dx.doi.org/10.1007/978-3-8348-8118-2.

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T, Leondes Cornelius, ed. Intelligent knowledge-based systems: Business and technology in the new millennium. Kluwer Academic, 2005.

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1949-, King David, ed. Expert systems: Artificial intelligence in business. J. Wiley, 1985.

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Turban, Efraim. Decision support and business intelligence systems. 9th ed. Pearson/Prentice Hall, 2011.

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Howson, Cindi. Successful Business Intelligence. McGraw-Hill, 2008.

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Sauter, Vicki L. Decision Support Systems for Business Intelligence. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470634431.

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Kautish, Sandeep, Prasenjit Chatterjee, Dragan Pamucar, N. Pradeep, and Deepmala Singh, eds. Computational Intelligence for Modern Business Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-5354-7.

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Ivanovic, Mirjana, Marite Kirikova, and Laila Niedrite, eds. Digital Business and Intelligent Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09850-5.

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Lupeikienė, Audronė, Jolita Ralyté, and Gintautas Dzemyda, eds. Digital Business and Intelligent Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63543-4.

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Odincov, Boris. Models and intelligent systems. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1060845.

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The monograph consists of three chapters, the first of which outlines the theoretical foundations of intelligent information systems. Special attention is paid to the disclosure of the term "model" as the intended meaning depends on the understanding of the material. Introduces and examines the new concepts such as the associative and intuitive knowledge while in the creation of intellectual information systems are not used. &#x0D; The second Chapter contains the analysis of problems of development of artificial intelligence (AI), developed in two directions: classical and statistical. Discuss
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Book chapters on the topic "Système Business Intelligence"

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Burmester, Lars. "Business Intelligence." In Adaptive Business-Intelligence-Systeme. Vieweg+Teubner, 2011. http://dx.doi.org/10.1007/978-3-8348-8118-2_5.

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Rizzi, Stefano. "Business Intelligence." In Encyclopedia of Database Systems. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_881-2.

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Rizzi, Stefano. "Business Intelligence." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_881.

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Rizzi, Stefano. "Business Intelligence." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_881.

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Caserio, Carlo, and Sara Trucco. "Business Intelligence Systems." In Contributions to Management Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77679-8_3.

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Kale, Vivek. "Business Intelligence Systems." In Enterprise Performance Intelligence and Decision Patterns. Auerbach Publications, 2017. http://dx.doi.org/10.4324/9781351228428-10.

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Negash, Solomon, and Paul Gray. "Business Intelligence." In Handbook on Decision Support Systems 2. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-48716-6_9.

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Gronwald, Klaus-Dieter. "BI: Business Intelligence." In Integrated Business Information Systems. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-53291-1_13.

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Gronwald, Klaus-Dieter. "BI: Business Intelligence." In Integrated Business Information Systems. Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-59811-5_5.

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Kazeli, Hariklea. "Cloud Business Intelligence." In Business Information Systems Workshops. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11460-6_26.

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Conference papers on the topic "Système Business Intelligence"

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N, Kirubakaran, Preethi S. T, Parijatham R, and Pramithi R. "Smart Business with Intelligent Business Cards (SBIBC)." In 2024 International Conference on System, Computation, Automation and Networking (ICSCAN). IEEE, 2024. https://doi.org/10.1109/icscan62807.2024.10894227.

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Jaganathan, Humashankar Vellathur, Prakash Murugesan, Sairam Madasu, and Imran Ur Rehman. "Artificial Intelligence Embedded Customer Relationship Management for Business-to-Business Firms using Improved Long Short-Term Memory." In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS). IEEE, 2024. http://dx.doi.org/10.1109/iacis61494.2024.10721741.

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Wu, Jui-Yu. "Computational Intelligence-Based Intelligent Business Intelligence System: Concept and Framework." In 2010 Second International Conference on Computer and Network Technology. IEEE, 2010. http://dx.doi.org/10.1109/iccnt.2010.23.

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Houhala, Keijo, and Vesa Salminen. "Innovation Automation by AI as an Engine for Value Creation." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004948.

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Artificial intelligence and innovation have shaped the business landscape and brought new opportunities and challenges. Artificial intelligence, AI, provides the computing power needed to analyze and predict a huge amount of data, enabling the identification and creation of new ideas. At the same time, AI can be used to improve business efficiency through automation and intelligent systems, freeing up human capital for more strategic tasks. In this article, we will focus on examining the potential of AI from the perspective of innovation, operational efficiency, and utilization of human capita
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Mach, Maria Antonina, and M. Salem Abdel-Badeeh. "Intelligent techniques for business intelligence in healthcare." In 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2010. http://dx.doi.org/10.1109/isda.2010.5687209.

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Dasgupta, Supratim, and Vamsi Krishna Vankayala. "Developing Real Time Business Intelligence Systems the Agile Way." In 2007 1st Annual IEEE Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/systems.2007.374652.

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Singh, Nehul, and Satyendra Singh Chouhan. "Role of Artificial Intelligence for Development of Intelligent Business Systems." In 2021 IEEE International Symposium on Smart Electronic Systems (iSES). IEEE, 2021. http://dx.doi.org/10.1109/ises52644.2021.00092.

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Krneta, Dragoljub, Dragica Radosav, and Biljana Radulovic. "Realization business intelligence in commerce using Microsoft Business Intelligence." In 2008 6th International Symposium on Intelligent Systems and Informatics (SISY 2008). IEEE, 2008. http://dx.doi.org/10.1109/sisy.2008.4664943.

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Birznieks, Janis, and Lasma Licite-Kurbe. "Analysis of the Introduction of Business Intelligence and Data Warehousing into Businesses in Latvia." In 22nd International Scientific Conference. “Economic Science for Rural Development 2021”. Latvia University of Life Sciences and Technologies. Faculty of Economics and Social Development, 2021. http://dx.doi.org/10.22616/esrd.2021.55.028.

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The market of global business intelligence technologies reached EUR 18.3 billion in 2017 and is expected to reach EUR 22.8 billion in the near future, as such technologies provide companies with a number of benefits: new information for business decision-making, real-time financial reporting and manual work automation. Nevertheless, many companies around the world do not achieve the desired results of applying business intelligence and data warehousing technologies. The research aims to develop scenarios for applying business intelligence and data warehousing tools in entrepreneurship in Latvi
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Helfenstein, Sacha, Olena Kaikova, Oleksiy Khriyenko, and Vagan Terziyan. "Emotional Business Intelligence." In 2014 7th International Conference on Human System Interactions (HSI). IEEE, 2014. http://dx.doi.org/10.1109/hsi.2014.6860441.

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Reports on the topic "Système Business Intelligence"

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Pasupuleti, Murali Krishna. Empathetic AI in Action: Transforming Customer Service with Emotional Intelligence. National Education Services, 2025. https://doi.org/10.62311/nesx/rr725.

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Abstract: This article explores the transformative impact of Emotionally Intelligent AI on customer service, focusing on how AI systems are designed to understand and respond to human emotions with empathy and precision. It delves into the core technologies, such as sentiment analysis, emotion recognition models, and reinforcement learning, that enable AI to provide emotionally aware interactions. Practical applications are discussed, including AI-powered customer support, personalized experiences, and crisis management solutions. The Article also covers the psychological foundations of AI-dri
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Vuyyuru, Tejaswini. Using Predictive Maintenance techniques and Business Intelligence to develop smarter factory systems for the digital age. Iowa State University, 2018. http://dx.doi.org/10.31274/cc-20240624-1566.

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Danylchuk, Hanna B., and Serhiy O. Semerikov. Advances in machine learning for the innovation economy: in the shadow of war. Криворізький державний педагогічний університет, 2023. http://dx.doi.org/10.31812/123456789/7732.

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This preface introduces the selected and revised papers presented at the 10th International Conference on Monitoring, Modeling &amp; Management of Emergent Economy (M3E2 2022), held online in Ukraine, on November 17-18, 2022. The conference aimed to bring together researchers, practitioners, and students from various fields to exchange ideas, share experiences, and discuss challenges and opportunities in applying computational intelligence and data science for the innovation economy. The innovation economy is a term that describes the emerging paradigm of economic development that is driven by
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Canto, Patricia, ed. The role of vocational training knowledge intensive business services. (Main conclusions). Universidad de Deusto, 2020. http://dx.doi.org/10.18543/vyqr9353.

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In the global economic model, the service sector continues to gain ground on the manufacturing sector and trends such as the integration of new technologies into production processes are advancing inexorably. Advanced economies are pushed to specialise, supported by their regional innovation systems, and cities are emerging as key and strategic centres of activity. In this context, Knowledge Intensive Business Services (KIBS) are presented as critical due to their capacity to promote innovation within the regional productive fabric and smart specialisation strategies, the promotion of advanced
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Rihm, Alfredo, Carolina Piamonte, Eduardo Antonio Restrepo Lagos, Magda Correal, and Paula Gabriela Guerra Morán. Digital Transformation of Solid Waste Management: Waste Collection Innovation, Business Intelligence, and Digital Technologies to Transition Waste Management Towards Circularity in Latin America and the Caribbean. Edited by Claudia M. Pasquetti. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013169.

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If you are interested in technology and innovation, and have been wondering what are the new trends in technological and digital innovation in the solid waste sector in Latin America and the Caribbean, this publication is for you! The transition to the circular economy, climate action, the fourth industrial revolution bring new challenges to operators in the sector. Key challenges highlighted include the need for robust data and the digitization of waste management systems to meet the objectives of the circular economy. The text details the efforts of organizations such as the IDB to develop d
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Li, Richard. DeepSeek: Revolutionising the AI industry. LegalOne Global Limited, 2025. https://doi.org/10.62436/a-1740063218021.

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Recently, DeepSeek, a Chinese artificial intelligence (AI) startup, has made headlines with its groundbreaking advancements in AI technology. Founded in 2023 by entrepreneur Liang Wenfeng, DeepSeek has quickly risen to prominence, challenging established AI giants like OpenAI and Google. DeepSeek, headquartered in Hangzhou, China, is known for its cost-efficient AI models and open-source approach, making advanced AI technology accessible to a wider range of businesses and developers. Open-source AI refers to systems whose source code, datasets, and model parameters are freely available for any
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Marsden, Eric, and Véronique Steyer. Artificial intelligence and safety management: an overview of key challenges. Foundation for an Industrial Safety Culture, 2025. https://doi.org/10.57071/iae290.

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Artificial intelligence based on deep learning, along with big data analysis, has in recent years been the subject of rapid scientific and technological advances. These technologies are increasingly being integrated into various work environments with the aim of enhancing performance and productivity. This dimension of the digital transformation of businesses and regulatory authorities presents both significant opportunities and potential risks for industrial safety management practices. While there are numerous expected benefits, such as the ability to process large volumes of reliability dat
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Nowinska, Agnieszka Urszula, and Gisele Msann. AI disruption in chartering in Danish Shipping. Aalborg University Open Publishing, 2025. https://doi.org/10.54337/aau.bk2_2025.

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Our research highlights the current state and trends of artificial intelligence (AI) adoption in Denmark’s chartering, particularly in the dry bulk and tanker segments. Companies in the dry bulk sector are leading AI adoption, with the tanker segment closely following and adoption rates in our sample appear higher than national averages reported by consultancies. Most firms are in either the experimental phase or transitioning toward more integrated AI systems, often opting for hybrid models that allow them to maintain internal control over key processes. Factors such as company size and matur
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Fang, Mei Lan, Judith Sixsmith, Jacqui Morris, et al. AgeTech, Ethics and Equity: Towards a Cultural Shift in AgeTech Ethical Responsibility. University of Dundee, 2023. http://dx.doi.org/10.20933/100001292.

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Population ageing is a global phenomenon which presents major challenges for the provision of care at home and in the community (ONS, 2018). Challenges include the human and economic costs associated with increasing numbers of older people with poor physical and mental health, loneliness, and isolation challenges (Mihalopoulos et al., 2020). The global ageing population has led to a growth in the development of technology designed to improve the health, well-being, independence, and quality of life of older people across various settings (Fang, 2022). This emerging field, known as “AgeTech,” r
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Khan, Samir. AI in Wonderland: Engineering in the Age of Overpromised Technology. SAE International, 2025. https://doi.org/10.4271/epr2025002.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;This report explores the move from traditional industry practices to emerging technologies, specifically the integration of artificial intelligence (AI) solutions in engineering service sectors. It highlights the increasing problem of “technology washing,” when organizations overstate (sometimes deceivingly) their technology abilities and ethics, posing challenges to accountability, transparency, and trust in various fields. The rise of AI-based solutions in sectors like autonomous mobility, manufacturing, and aerospace
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