Acceso Abierto

Business intelligence : from conventional to cognitive

dc.contributor.advisorGómez Cruz, Nelson Alfonso
dc.creatorRamírez Linares, Andrés Felipe
dc.creator.degreeAdministrador de Negocios Internacionalesspa
dc.creator.degreetypeFull timespa
dc.description.abstractTechnological systems enhance organizations since 1958 and are the ground basis of a strong managerial operation in today´s business competition. Based on a literature review that identifies past, present and future applications of technology from business intelligence to artificial intelligence. This article offers an understanding of which technological advances are applied in organizations to adapt and survive within an ever-changing environment in business world today. Business intelligence´s definition and key divisions are described to carry on a wide explanation due to its scope. Based in a state-of-the-art literature revision and going through several definitions, BI it is analyzed as a process and as technological aid. From key divisions in its application such as: reporting, analysis, monitoring and prediction to its extensions based on time frames in operational and strategic bids. BI is the starting point to excel why having a decision support making tool is key to hedge the risk from failure to be an outstanding tool to increase profits. How can systems create for themselves prediction modules that optimize and later adapt to future scenarios based on historic data and how its adaptivity is key. Therefore, new technologies are emerging at a neck breaking speed. Hence, this article explains and help to understand their scope and importance within the world we live in and why companies must innovate and cope with them when building their industry to new horizons. Internet of things, machine learning and artificial intelligence are the new emerging and disruptive technologies that are being implemented in all industries creating new trends and challenges to manage.spa
dc.publisherUniversidad del Rosariospa
dc.publisher.departmentFacultad de administraciónspa
dc.publisher.programAdministrador de negocios internacionalesspa
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Colombiaspa
dc.rights.accesoAbierto (Texto Completo)spa
dc.rights.licenciaEL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma. PARGRAFO: En caso de presentarse cualquier reclamación o acción por parte de un tercero en cuanto a los derechos de autor sobre la obra en cuestión, EL AUTOR, asumirá toda la responsabilidad, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos la universidad actúa como un tercero de buena fe. EL AUTOR, autoriza a LA UNIVERSIDAD DEL ROSARIO, para que en los términos establecidos en la Ley 23 de 1982, Ley 44 de 1993, Decisión andina 351 de 1993, Decreto 460 de 1995 y demás normas generales sobre la materia, utilice y use la obra objeto de la presente autorización. -------------------------------------- POLITICA DE TRATAMIENTO DE DATOS PERSONALES. Declaro que autorizo previa y de forma informada el tratamiento de mis datos personales por parte de LA UNIVERSIDAD DEL ROSARIO para fines académicos y en aplicación de convenios con terceros o servicios conexos con actividades propias de la academia, con estricto cumplimiento de los principios de ley. Para el correcto ejercicio de mi derecho de habeas data cuento con la cuenta de correo habeasdata@urosario.edu.co, donde previa identificación podré solicitar la consulta, corrección y supresión de mis datos.spa
dc.source.bibliographicCitationAbdelkerim Rezgui, R. B. (2016). Un système d’évaluation de l’impact des décisions pour la Business Intelligence Adaptative. Ingeniere des systems d`information , 21, 103-124.spa
dc.source.bibliographicCitationAI, P. (2018). Obtenido de https://www.partnershiponai.org/about/spa
dc.source.bibliographicCitationAlphaydin, E. (2010). Introduction to machine learning. London: The MIT press.spa
dc.source.bibliographicCitationAnderson, S. L. (2008). Asimov’s ‘‘three laws of robotics’’ and machine. AI & Soc, 477–493.spa
dc.source.bibliographicCitationApex. (November de 2018). Obtenido de https://www.apex.com/four-main-types-bi/spa
dc.source.bibliographicCitationAtzori, L., Iera, A., & Morabito, G. (14 de May de 2010). The Internet of Things: A survey. Computer Networks, 2787–2805.spa
dc.source.bibliographicCitationBanafa, A. (14 de March de 2017). Three Major Challenges Facing IoT. Obtenido de https://iot.ieee.org/newsletter/march-2017/three-major-challenges-facing-iot.htmlspa
dc.source.bibliographicCitationBostrom, N. (2003). Ethical Issues in Advanced Artificial Intelligence. Oxford: Oxford University.spa
dc.source.bibliographicCitationBrown, J., Cuzzocrea, A., Kresta, M., Kristjanson, K., Leung, C., & Tebinka, T. ( 2018). A machine learning tool for supporting advanced knowledge discovery from chess game data. 16th IEEE International Conference on Machine Learning and Applications, (págs. 649-654). Cancun.spa
dc.source.bibliographicCitationCambridge, D. (18 de November de 2018). https://dictionary.cambridge.org. Obtenido de https://dictionary.cambridge.org/dictionary/english/dataspa
dc.source.bibliographicCitationCambridge. (2018). Obtenido de https://dictionary.cambridge.org/dictionary/english-spanish/artificialspa
dc.source.bibliographicCitationCambridge. (2018). Obtenido de https://dictionary.cambridge.org/dictionary/english-spanish/intelligencespa
dc.source.bibliographicCitationCampbell, M., Jr, A. H., & Feng-hsiung, b. (2002). Deep Blue. Artificial Intelligence, 134, 57-83. Obtenido de https://doi.org/10.1016/S0004-3702(01)00129-1spa
dc.source.bibliographicCitationChen, Y., Argentinis, E., & Weber, G. (2016). IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research. Clinical Therapeutics, 38, 688-701. Obtenido de https://doi.org/10.1016/j.clinthera.2015.12.001spa
dc.source.bibliographicCitationChiang, R. H., Chen, H.-c., & Storey, V. C. (2010). Business Intelligence Research. Minnesota: MIS Quarterlyspa
dc.source.bibliographicCitationCNN. (2018 de January de 2016). Why Elon Musk is worried about artificial intelligence. Obtenido de https://www.youtube.com/watch?v=US95slMMQisspa
dc.source.bibliographicCitationDaffodil. (30 de July de 2017). 9 Applications of Machine Learning from Day-to-Day Life. Obtenido de https://medium.com/app-affairs/9-applications-of-machine-learning-from-day-to-day-life-112a47a429d0spa
dc.source.bibliographicCitationDataRobot. (2018). Unsupervised Machine Learning. Obtenido de https://www.datarobot.com/wiki/unsupervised-machine-learning/spa
dc.source.bibliographicCitationDevi, S., & Kalia, D. A. (2015). Study of Data Cleaning & Comparison of Data Cleaning Tools. International Journal of Computer Science and Mobile Computing, 4(3), 360-370.spa
dc.source.bibliographicCitationDevi, S., & Kalia, D. A. (2015). Study of Data Cleaning & Comparison of Data Cleaning Tools. International Journal of Computer Science and Mobile Computing, 4(3), 360-370.spa
dc.source.bibliographicCitationDietrich, D., Heller, B., & Yang, B. (2015). Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data. Indianapolis, United States of America: John Wiley & Sons, Inc.spa
dc.source.bibliographicCitationEnciclopedia. (2018). Artificial Intelligence. Obtenido de https://www.encyclopedia.com/science-and-technology/computers-and-electrical-engineering/computers-and-computing/artificial-intelligencespa
dc.source.bibliographicCitationErb, B. (2016). Artificial Intelligence & Theory of Mind.spa
dc.source.bibliographicCitationGandhi, N., & Armstrong, L. J. (2016). A review of the application of data mining techniques for decision making in agriculture. (IEEE, Ed.) 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I), 2.spa
dc.source.bibliographicCitationGartner. (2 de April de 2012). Obtenido de https://www.gartner.com/newsroom/id/1971516spa
dc.source.bibliographicCitationGartner. (2018). IT Glossary. Obtenido de https://www.gartner.com/it-glossary/big-data/spa
dc.source.bibliographicCitationGartner. (3 de February de 2016). Obtenido de https://www.gartner.com/newsroom/id/3198917spa
dc.source.bibliographicCitationGeotab. (25 de May de 2018). 6 Steps for Data Cleaning and Why it Matters. Obtenido de https://www.geotab.com/blog/data-cleaning/spa
dc.source.bibliographicCitationGiorgio, P., Marzin, K., Lee, S., & Vonderhaar, M. (2018). Internet of Things (IoT): Bringing IoT to Sports Analytics, Player Safety, and Fan. Deloitte Development LLC.spa
dc.source.bibliographicCitationGN, C. K. (31 de August de 2018). Artificial Intelligence: Definition, Types, Examples, Technologies. Obtenido de https://medium.com/@chethankumargn/artificial-intelligence-definition-types-examples-technologies-962ea75c7b9bspa
dc.source.bibliographicCitationGolfarelli, M., Rizzi, S., & Cella, I. (2004). Beyond Data Warehousing: What’s Next in Business Intelligence? . Proceedings of the 7th ACM international, 1.spa
dc.source.bibliographicCitationGorbea, P. S., & Madera, J. M. (Agosto de 2017). Diseño de un data warehouse para medir el desarrollo disciplinar en instituciones académicas. INVESTIGACIÓN BIBLIOTECOLÓGICA, 31(72), 161-181. Obtenido de http://rev-ib.unam.mx/ib/index.php/ib/article/view/57828spa
dc.source.bibliographicCitationH.Witten, I., & Frank, E. (2005). Data Mining: Practical Machine Learning Tools and Techniques. San Francisco: Morgan Kaufman Publishers.spa
dc.source.bibliographicCitationHassan, M., El Desouky, A., Elghamrawy, S., & Sarhan, A. (2019). A Hybrid Real-time remote monitoring framework with NB-WOA algorithm for patients with chronic diseases. Future Generation Computer Systems, 77-95.spa
dc.source.bibliographicCitationHazen, B. T., Boone, C. A., Ezell, J. D., & AllisonJones-Farmer, L. (2014). Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics, 154, 72-80.spa
dc.source.bibliographicCitationHeltzel, P. (12 de February de 2018). www.cio.com. Obtenido de https://www.cio.com/article/3254744/emerging-technology/technologies-that-will-disrupt-business.htmlspa
dc.source.bibliographicCitationHintzed, A. (14 de November de 2016). Understanding the Four Types of Artificial Intelligence. Obtenido de http://www.govtech.com/computing/Understanding-the-Four-Types-of-Artificial-Intelligence.htmlspa
dc.source.bibliographicCitationHitachi. (26 de Junio de 2014). What is Business Intelligence (BI). Toronto, Canada. Obtenido de https://www.youtube.com/watch?v=hDJdkcdG1iAspa
dc.source.bibliographicCitationHougland, B. (17 de December de 2014). www.tedx.com. Obtenido de https://www.youtube.com/watch?v=_AlcRoqS65Espa
dc.source.bibliographicCitationHUGH J. WATSON, B. H.-L. (December de 2009). REAL-TIME BUSINESS INTELLIGENCE: BEST PRACTICES AT CONTINENTAL AIRLINES. EDPACS: The EDP Audit, Control, and Security, 2-17.spa
dc.source.bibliographicCitationIBM. (2018). Shifting toward Enterprise-grade AI: Resolving data and skills gaps to realize value. Armonk, NY: IBM Institute for Business Value.spa
dc.source.bibliographicCitationIBM. (3 de September de 2015). How It Works: Internet of Things. Obtenido de https://www.youtube.com/watch?v=QSIPNhOiMoEspa
dc.source.bibliographicCitationJones, M., Sidorova, A., & Isk, O. (23 de December de 2012). Business intelligence success: The roles of BI capabilities and decision enviroments. 13-14.spa
dc.source.bibliographicCitationJordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, and prospects. American Association for the Advancement of Science, 249(6245).spa
dc.source.bibliographicCitationKato, S., Ando, M., Kondo, T., Yoshida, Y., Honda, H., & Maruyama, S. (May de 2018). Lifestyle intervention using Internet of Things (IoT) for the elderly: A study protocol for a randomized control trial (the BEST-LIFE study). Nagoya Journal of Med Sci., 175-182.spa
dc.source.bibliographicCitationKopetz, H. (2011). Real-Time Systems: Design Principles for Distributed Embedded Applications. Boston: Springer.spa
dc.source.bibliographicCitationKuhn, M., & Jhonson, K. (2016). Applied Predictive Modeling (Vol. 5). New York: Springer.spa
dc.source.bibliographicCitationLahrmann, G., Marx, F., Winter, R., & Wortmann, F. (2011). Business Intelligence Maturity: Development and Evaluation of a Theoretical Model. (U. o. Gallen, Ed.) 44, 2.spa
dc.source.bibliographicCitationLuhn, H. P. (1958). A Business Intelligence System . IMB Journal .spa
dc.source.bibliographicCitationMarr, B. (14 de February de 2018). www.forbes.com. Obtenido de https://www.forbes.com/sites/bernardmarr/2018/02/14/the-key-definitions-of-artificial-intelligence-ai-that-explain-its-importance/#e649af04f5d8spa
dc.source.bibliographicCitationMarr, B. (23 de March de 2016). What Everyone Should Know About Cognitive Computing. Obtenido de https://www.forbes.com/sites/bernardmarr/2016/03/23/what-everyone-should-know-about-cognitive-computing/#332913b55088spa
dc.source.bibliographicCitationMichalewicz, Z., Schmidt, M., Michalewicz, M., & Constantine, C. (2010). Adaptive Business Inteligence. Berlin - Heidelberg: Springer.spa
dc.source.bibliographicCitationMostafa, H., Thurow, K., Habil, D. I., Stoll, R., & Habil, D. M. (2017). Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices. Healthc Inform Res, 4-15.spa
dc.source.bibliographicCitationNilsson, N. J. (1996). Book review: Stuart Russell and Peter Norvig, Artijcial Intelligence: A Modem Approach. Artificial Intelligence, 369-380.spa
dc.source.bibliographicCitationNing, H., & Wang, Z. (April de 2011). Future Internet of Things Architecture: Like Mankind Neural System or Social Organization Framework? IEEE COMMUNICATIONS LETTERS, 15(4), 2.spa
dc.source.bibliographicCitationOracle. (2018). Oracle Big Data. Obtenido de https://www.oracle.com/big-data/guide/what-is-big-data.htmlspa
dc.source.bibliographicCitationPaul, F. (26 de November de 2018). Obtenido de https://www.networkworld.com/article/3322517/internet-of-things/a-critical-look-at-gartners-top-10-iot-trends.htmlspa
dc.source.bibliographicCitationPaulaGonzález, M., JesúsLorés, & AntoniGranollers. (2008). Enhancing usability testing through datamining techniques: A novel approach to detecting usability problem patterns for a context of use. Information and Software Technology, 547-568.spa
dc.source.bibliographicCitationPeart, A. (22 de June de 2017). www.artificial-solutions.com. Obtenido de https://www.artificial-solutions.com/blog/homage-to-john-mccarthy-the-father-of-artificial-intelligencespa
dc.source.bibliographicCitationPirttimäki, V. (2 de June de 2007). Conceptual analysis of business intelligence. South African Journal Of Information and Management, 9, 2-5.spa
dc.source.bibliographicCitationPrice, R. (23 de May de 2018). Months after a fatal crash, Uber lays off 300 workers as it pulls its self-driving car tests out of Arizona. Obtenido despa
dc.source.bibliographicCitationPrice, R. (23 de May de 2018). Months after a fatal crash, Uber lays off 300 workers as it pulls its self-driving car tests out of Arizona. Obtenido de 33 https://www.spa
dc.source.bibliographicCitationRahm, E., & Do, H. H. (2015). Data Cleaning: Problems and Current Approaches. University of Leipzig.spa
dc.source.bibliographicCitationRaona. (4 de September de 2018). Adiós a nuestros problemas gracias al Cognitive Computing. Obtenido de https://www.raona.com/adios-a-nuestros-problemas-gracias-al-cognitive-computing/spa
dc.source.bibliographicCitationRashed K. Salem, A. S. (14 de March de 2016). Fixing Rules for Data Cleaning based on Conditional. Future Computing and Informatics Journal, 11-15.spa
dc.source.bibliographicCitationRichard G. Vedder-, M. T. (1999). Ceo and Cio Perspectives on Competitive Intelligence. Communications of the ACM, 42(8), 108-116.spa
dc.source.bibliographicCitationRubio, J. M., & Crawford, B. (2014). An approach towards the integration of Adaptive Business Intelligent and Constraint Programming . Pontificia universidad catolica del valparaiso, 2.spa
dc.source.bibliographicCitationSAP. (2018). Obtenido de https://www.sap.com/latinamerica/products/leonardo.htmlspa
dc.source.bibliographicCitationSAP. (26 de April de 2018). Obtenido de https://www.soapeople.com/blog/6-reasons-why-sap-leonardo-is-the-future-of-intelligent-erpspa
dc.source.bibliographicCitationShah, J., & Mishra, B. (2016). Customized IoT enabled Wireless Sensing and Monitoring Platform. 3rd International Conference on Innovations in Automation and Mechatronics Engineering, (págs. 256 – 263 ). Gandhinaga: VLSI and Embedded Systems Research Group.spa
dc.source.bibliographicCitationShollo, A., & Kautz, K. (2010). Towards an Understanding of Business Intelligence. Australasian Conference on Information Systems. Brisbane, Qeenslandspa
dc.source.bibliographicCitationSommer, P. (20 de November de 2017). Obtenido de https://www.ibm.com/blogs/nordic-msp/artificial-intelligence-machine-learning-cognitive-computing/spa
dc.source.bibliographicCitationSoni, D. (22 de March de 2018). Supervised vs. Unsupervised Learning: Understanding the differences between the two main types of machine learning methods. Obtenido de https://towardsdatascience.com/supervised-vs-unsupervised-learning-14f68e32ea8dspa
dc.source.bibliographicCitationSparks, O. (11 de Enero de 2017). www.Youtube.com. Obtenido de https://www.youtube.com/watch?v=f_uwKZIAeM0spa
dc.source.bibliographicCitationStefan Debortoli, M., Müller, D. O., & Brocke, P. D. (2014). Comparing Business Intelligence and Big Data Skills. 5.spa
dc.source.bibliographicCitationSu, X. (2018). Introduction to Big Data. Learning material is developed for course IINI3012 Big Data, 2.spa
dc.source.bibliographicCitationSurajit Chaudhuri, U. D. (Agosto de 2011). An Overview of business Intelligence Technology. Communications of the acm, 54(8), 88-98.spa
dc.source.bibliographicCitationTechopedia. (2018). Obtenido de https://www.techopedia.com/definition/13832/operational-business-intelligence-obispa
dc.source.bibliographicCitationTechopedia. (30 de October de 2018). Obtenido de https://www.techopedia.com/definition/344/business-analytics-baspa
dc.source.bibliographicCitationTechopedia. (December de 2018). www.techopedia.com/. Obtenido de https://www.techopedia.com/definition/3739/algorithmspa
dc.source.bibliographicCitationTegmark, M. (2018). Obtenido de https://futureoflife.org/background/benefits-risks-of-artificial-intelligence/?cn-reloaded=1spa
dc.source.bibliographicCitationThelwell, R. (2018). www.matillion.com. Obtenido de https://www.matillion.com/insights/5-real-life-applications-of-data-mining-and-business-intelligence/spa
dc.source.bibliographicCitationThewell, R. (2018). /www.matillion.com. Obtenido de /www.matillion.com: https://www.matillion.com/insights/5-biggest-business-intelligence-challenges/spa
dc.source.bibliographicCitationTriana, J. A., Hernández, C. A., Martínez, A. B., Lista, E. A., & Flórez, L. C. (2013). Business intelligence solution for managing educational resources and physical. AVANCES Investigación en Ingeniería, 10(1), 11.spa
dc.source.bibliographicCitationUJ, A. (14 de May de 2018). https://www.analyticsinsight.net. Obtenido de https://www.analyticsinsight.net/what-are-the-two-types-of-business-intelligence/spa
dc.source.bibliographicCitationViktor Mayer-Schönberger, K. C. (2014). Book Review. En K. C. Viktor Mayer-Schönberger-, Big Data: A Revolution That Will Transform How We Live, Work, and Think (Vol. 179, págs. 1143-1144). Oxford: American Journal of Epidemiology.spa
dc.source.bibliographicCitationWeldon, D. (12 de June de 2018). Obtenido de https://www.information-management.com/slideshow/10-predictions-on-advanced-analytics-and-business-intelligence-trendsspa
dc.source.bibliographicCitationWixom, B., & Watson, H. (2010). The BI-Based Organization. International Journal of Business Intelligence Research, 14.spa
dc.source.bibliographicCitationWong, M.-H. C.-L. (4 de May de 2011). A review of business intelligence and its maturity models. African Journal of Business Management, 5, 3424-3428. Obtenido de http://www.academicjournals.org/AJBMspa
dc.source.bibliographicCitationYang, S.-H. (2014). Internet of Things. In: Wireless Sensor Networks. Signals and Communication Technology. London: Springer.spa
dc.source.bibliographicCitationZhao, Y., Yu, Y., Li, Y., Han, G., & Du, X. (2018). Machine learning based privacy-preserving fair data trading. Information Sciences, 459.spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subjectBusiness intelligencespa
dc.subjectInternet of thingsspa
dc.subjectMachine learningspa
dc.subjectArtificial intelligencespa
dc.subject.keywordBusiness Intelligencespa
dc.subject.keywordInternet of thingsspa
dc.subject.keywordMachine learningspa
dc.subject.keywordArtificial intelligencespa
dc.subject.lembInteligencia artificialspa
dc.subject.lembInternet de las cosasspa
dc.subject.lembAprendizaje automático (Inteligencia artificial)spa
dc.titleBusiness intelligence : from conventional to cognitivespa
dc.type.spaTrabajo de gradospa
Bloque original
Mostrando1 - 1 de 1
376.21 KB
Adobe Portable Document Format
Documento Principal