Relevant bibliographies by topics / Trends in Business Intelligence

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Trends in Business Intelligence'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Trends in Business Intelligence"

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Gluchowski, Peter. "Aktuelle Trends in der Business-Intelligence." Controlling 26, no. 4-5 (2014): 235–43. http://dx.doi.org/10.15358/0935-0381_2014_4-5_235.

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Paul, Joachim. "Trends und Megatrends in Business Intelligence." Controlling & Management Review 58, no. 1 (2014): 69. http://dx.doi.org/10.1365/s12176-014-0876-9.

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Bayer, Harun, Mustafa Aksogan, Enes Celik, and Adil Kondiloglu. "Big data mining and business intelligence trends." Journal of Asian Business Strategy 7, no. 1 (2017): 23–33. http://dx.doi.org/10.18488/journal.1006/2017.7.1/1006.1.23.33.

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Boland, Giles W., James H. Thrall, and Richard Duszak. "Business Intelligence, Data Mining, and Future Trends." Journal of the American College of Radiology 12, no. 1 (2015): 9–11. http://dx.doi.org/10.1016/j.jacr.2014.10.003.

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Maravilhas, Sérgio. "Social Media Intelligence for Business." International Journal of Organizational and Collective Intelligence 6, no. 4 (2016): 19–44. http://dx.doi.org/10.4018/ijoci.2016100102.

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Social Media intelligence allow the knowledge of competitor's moves and the analysis of trends from the communications exchanged in the networks of individual consumers, making it easy for companies to develop solutions according to their clients and prospects desires. There are several characteristics that describe the quality of information that will allow the analysis of the value of the information used. Information is an important aid in the decision making process and must be of quality to improve its value. Marketing trends and competitive information is needed to clear decision-making
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Vizgaitytė, Gintarė, and Skyrius Rimvydas. "BUSINESS INTELLIGENCE IN THE PROCESS OF DECISION MAKING: CHANGES AND TRENDS." Ekonomika 91, no. 3 (2012): 147–57. http://dx.doi.org/10.15388/ekon.2012.0.881.

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The concept of business intelligence has drawn substantial attention of both academicians and practitioners. As one of the fastest eveloping business application areas, business intelligence has also created a trail of confusion regarding its role, potential, sources of value creation. This study aimed at elucidating the role of business intelligence in the near future through the analysis of the current research and practical trends. The current prevailing trends in business intelligence technologies and systems are mobile business intelligence, location intelligence, software as a service, b
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Homocianu, Daniel, and Dinu Airinei. "Business Intelligence From E -Connotations to Technological Trends." Annals of the Alexandru Ioan Cuza University - Economics 60, no. 2 (2013): 249–57. http://dx.doi.org/10.2478/aicue-2013-0019.

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Abstract This article shows most of the E -connotations when approaching the Business Intelligence (BI) field not just as methodology but also as practical implementations meant to serve as a support for organizational decisions. In the last part of the paper the focus is moved to nowadays technological possibilities and trends related to Business Intelligence. Some aspects as the specificity of BI applications, their promises, the problem of real-time response and some other limitations and resolved issues related to their capability to respond to ad-hoc organizational changes by changing the
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Kaula, Rajeev. "Performance trends for operational intelligence through value chain model." Journal of Advanced Computer Science & Technology 5, no. 2 (2016): 34. http://dx.doi.org/10.14419/jacst.v5i2.5861.

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Value chain is a successful management model for improving business competitiveness. A value chain based analytic approach facilitates meaningful grouping of business processes such that appropriate value from business operations can be derived. As organizations focus on competitive advantage and growth, a value chain derived operational intelligence provides insight to compete successfully in the marketplace. This paper outlines an approach to develop performance based value metrics in the form of analytic business rules for operational intelligence through the value chain model. The paper il
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Banica, Logica, Liviu Cristian Stefan, and Mariana Jurian. "Business Intelligence For Educational Purpose." Balkan Region Conference on Engineering and Business Education 1, no. 1 (2014): 333–38. http://dx.doi.org/10.2478/cplbu-2014-0049.

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AbstractThe paper follows three main directions: business intelligence – as a software tool, companies – as an application field and top management – as target of intelligent efforts. From this symbiosis does result an advantage, scientific and data based educational tool, having the goal to give the students a tool to explore data collections and analysis methods in order to improve the management of a company and forecast its evolution. The purpose of Business Intelligence (BI) software is to help the firms on acquiring knowledge about highlights and dangerous trends, to observe the connecti
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Abraham, Ajith. "Business Intelligence from Web Usage Mining." Journal of Information & Knowledge Management 02, no. 04 (2003): 375–90. http://dx.doi.org/10.1142/s0219649203000565.

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The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose from several alternatives, the business community has realized the necessity of intelligent marketing strategies and relationship management. Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the Web. Web usage mining has become very critical for effective Web site management, creating adaptive Web sites, business and support services, personal
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Dissertations / Theses on the topic "Trends in Business Intelligence"

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Marjamäki, 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.

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Business Intelligence or BI can be defined as an umbrella term describing a combination of applications, infrastructures, tools, processes, best practises and methods to gather, prepare, provide and analyse data to support decision making activities in organizations. BI is noted to have ties to preceding research on similar systems, known as MIS, DSS and EIS-systems. BI is noted to have been born after requirement to answer the challenges of data gathering and turning the data into knowledge for decision-making. Early BI-development can be seen to have be affected by the development and loweri
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David, Radek. "Business Intelligence v cloudu – analýza využitelnosti v advokátní kanceláři." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-202109.

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This master thesis discusses matters of cloud Business Intelligence in Software as a Service form and the possibilities of using this technology in a law firm environment. First theoretical part deals with definition of notion Business Intelligence and cloud, including functionality and technological background. Further is also analyze market of Business Intelligence, including look at trends. In practical part is thesis focused on determining the metrics and criteria with regard to the requirements of specific branches of czech economics a comparing cloud Business Intelligence tools whic are
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Olsson, Björn. "Trender inom Business Intelligence." Thesis, Blekinge Tekniska Högskola, Sektionen för management, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1331.

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Business Intelligence har under de senaste åren vuxit starkare fram och innefattar nu en hel yrkesroll i gränslandet mellan teknik och företagsekonomi. Detta syns framförallt inom det företagsekonomiska området och särskilt inom ekonomistyrningen. Denna uppsats försöker besvara frågorna ”Hur har utveckling upp till idag av Business Intelligence sett ut?” och ”Vilka trender finns idag inom Business Intelligence ur ett företagsekonomiskt perspektiv?”. Uppsatsen behandlar inte något specifikt verktyg eller systemleverantör utan har som utgångspunkt att undersöka trender inom floran av systemverkt
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Naghdipour, Navid Naghdipour. "New Trends in Business Intelligence : A case study on the impact of organizational demands of information and new technologies on BI." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Informatik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-25148.

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When the data warehouse concept was first introduced by IBM as a part of their new information system in 1988, the first step in the field of modern decision support systems or business intelligence was taken. Since then, academics, practitioners and solution developers have put a considerable effort in introducing new trends of these systems. Each new trend has roots in what enterprises demand from these systems. The advances in Web technologies and social media, has led to introduction of new trends such as Cloud BI and Big Data which are both cost-effective and also have the potential to ta
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Andersson, Lisa, and Hanna Sörensen. "“We may see something but if we fail to notice, we are essentially blind..” : A study of what methods companies use when analysing the surrounding world." Thesis, Umeå University, Umeå School of Business, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1174.

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<p>ABSTRACT</p><p>The conditions on the market are rapidly changing and businesses in Sweden need to seize signals of change in time, in order to have a strong market position. The ability to make the right decisions and react in time is vital due to the increasing competition and a mistake can have devastating consequences for a company. The aim of this thesis is to investigate what tools and methods businesses use to analyse the surrounding world, which has lead to following research question:</p><p>How do businesses analyse the surrounding and predict trends and what factors in the society
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Andersson, Oskar. "Design of a system for visualizing trends and behaviors based on customer data." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175633.

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Big amounts of data are produced every day in companies. By analyzing and visualizing the data a lot of insights can be gained. The company Solution Xperts wanted to create a system that could import and visualize Big Data. In this work a system was created and evaluated. The report shows that it can be difficult to visualize Big Data, but when a system is created it can easily be adapted to data coming from different companies and provide a lot of value to companies and organizations.
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Krčma, Marek. "Inovační trendy Business Intelligence a Big Data v modelu Design driven Innovation." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193364.

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Business Intelligence plays the crucial role in the question of serching for the truth in organizations. Trend of data growing defines the importance of analytical tools for organizations. Innovation is perceived as the only driver which leads to higher living standards in a society in the longterm run (according to the World Economic Forum). This thesis joins two areas: innovation and analytical field of business informatics (Business Intelligence, Big Data). The main goal of this thesis is to identify innovation trends of Business Intelligence and Big Data and to classify them using the Desi
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Machová, Vendula. "Nové trendy v marketingu telekomunikací." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-75016.

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Thesis maps the situation in the telecommunications market in the Czech Republic, analyzes the major players on the Czech nad world market, and analyzes the possibilities of marketing and presentation of high-tech to customers in user-friendly form.
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Schützler, Thomas. "The Emerging trend of Self-Service Business Intelligence : A sustainable solution for a large organization?" Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-108318.

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Business intelligence (BI) is an umbrella term used to describe the applications,infrastructure and tools, and best practices which organizations canuse to analyze information in order to improve and optimize decisions andorganizational performance. In the later years a new trend has emerged inthe area of BI namely, Self-Service Business Intelligence. The purpose ofSelf-Service BI is to empower the users by allowing users to create reportsand analyze data without support of the IT department. This thesis have tested and evaluated Microsoft's new Self-Service BI toolsuite, Power BI, through a c
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Idris, Muhammad. "Real-time Business Intelligence through Compact and Efficient Query Processing Under Updates." Doctoral thesis, Universite Libre de Bruxelles, 2019. https://dipot.ulb.ac.be/dspace/bitstream/2013/284705/5/contratMI.pdf.

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Responsive analytics are rapidly taking over the traditional data analytics dominated by the post-fact approaches in traditional data warehousing. Recent advancements in analytics demand placing analytical engines at the forefront of the system to react to updates occurring at high speed and detect patterns, trends, and anomalies. These kinds of solutions find applications in Financial Systems, Industrial Control Systems, Business Intelligence and on-line Machine Learning among others. These applications are usually associated with Big Data and require the ability to react to constantly changi
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Books on the topic "Trends in Business Intelligence"

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Herschel, Richard T. Organizational applications of business intelligence management: Emerging trends. Business Science Reference, 2012.

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Michele, Chambers, and Dhiraj Ambiga 1975-, eds. Big data, big analytics: Emerging business intelligence and analytic trends for today's businesses. John Wiley & Sons, Inc., 2013.

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Matsuo, Tokuro. Electronic Business and Marketing: New Trends on its Process and Applications. Springer Berlin Heidelberg, 2013.

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PRICAI 2004 (2004 Auckland, N.Z.). PRICAI 2004: Trends in artificial intelligence : 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004 : proceedings. Springer, 2004.

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Maass, Wolfgang. Semantic Technologies in Content Management Systems: Trends, Applications and Evaluations. Springer Berlin Heidelberg, 2012.

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Ardizzone, Edoardo, Salvatore Gaglio, and Filippo Sorbello, eds. Trends in Artificial Intelligence. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54712-6.

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Sabherwal, Rajiv. Business intelligence. Wiley, 2011.

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Cohen, Corine. Business Intelligence. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557648.

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Zimányi, Esteban, and Ralf-Detlef Kutsche, eds. Business Intelligence. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17551-5.

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Aufaure, Marie-Aude, and Esteban Zimányi, eds. Business Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27358-2.

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Book chapters on the topic "Trends in Business Intelligence"

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Gupta, Vishal, and Ashutosh Saxena. "Privacy Layer for Business Intelligence." In Recent Trends in Network Security and Applications. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14478-3_33.

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Diamantini, Claudia, and Domenico Potena. "Thinking Structurally Helps Business Intelligence Design." In Information Technology and Innovation Trends in Organizations. Physica-Verlag HD, 2011. http://dx.doi.org/10.1007/978-3-7908-2632-6_13.

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Stefanovic, Nenad, and Dusan Stefanovic. "Supply Chain Business Intelligence: Technologies, Issues and Trends." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03226-4_12.

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Reda, Reda. "Intelligence in Communication Systems Evolution, Trends and Business Opportunities." In Intelligence in Communication Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30179-0_1.

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Tsai, Chun-Ming. "Local Skew Estimation in Moving Business Cards." In Recent Trends in Applied Artificial Intelligence. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38577-3_67.

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Wang, Minhong, and Huaiqing Wang. "Agents and Web Services Supported Business Exception Management." In PRICAI 2004: Trends in Artificial Intelligence. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28633-2_65.

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Cao, Longbing, Chao Luo, Dan Luo, and Li Liu. "Ontology Services-Based Information Integration in Mining Telecom Business Intelligence." In PRICAI 2004: Trends in Artificial Intelligence. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28633-2_11.

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Stock, D., and R. Winter. "The Value of Business Metadata: Structuring the Benefits in a Business Intelligence Context." In Information Technology and Innovation Trends in Organizations. Physica-Verlag HD, 2011. http://dx.doi.org/10.1007/978-3-7908-2632-6_16.

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Haldorai, A., A. Ramu, and M. Suriya. "Enterprise Architecture for IoT: Challenges and Business Trends." In Business Intelligence for Enterprise Internet of Things. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44407-5_6.

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Gupta, Babita, and Uzma Raja. "Teaching Analytics, Decision Support, and Business Intelligence: Challenges and Trends." In Reshaping Society through Analytics, Collaboration, and Decision Support. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11575-7_14.

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Conference papers on the topic "Trends in Business Intelligence"

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Ермолаева, Валентина Владимировна, and Вероника Евгеньевна Балашова. "BUSINESS ANALYSIS: TRENDS AND IMPORTANCE." In Поколение будущего: сборник избранных статей Международной студенческой научной конференции (Санкт-Петербург, Ноябрь 2020). Crossref, 2020. http://dx.doi.org/10.37539/pb188.2020.45.46.003.

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Проанализированы тенденции бизнес-аналитики в условиях развития цифровизации. Рассмотрены основные поставщики и потребители на рынке бизнес-аналитики. Обоснована важность применения инструментов бизнес-аналитики для эффективного управления организацией. The trends of Business Analysis during digitalization were analyzed. The main suppliers and consumers of the Business Intelligence market were considered. The importance of using Business Intelligence tools for effective organization management was proved.
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Mishra, Brojo Kishore, Deepannita Hazra, Kahkashan Tarannum, and Manas Kumar. "Business Intelligence using Data Mining techniques and Business Analytics." In 2016 International Conference System Modeling & Advancement in Research Trends (SMART). IEEE, 2016. http://dx.doi.org/10.1109/sysmart.2016.7894496.

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Ganesh, N. S. Gowri, A. Mummoorthy, R. Roopa Chandrika, and Anantha Raman G.R. "Spark Streaming for Predictive Business Intelligence." In 2019 International Conference on Emerging Trends in Science and Engineering (ICESE). IEEE, 2019. http://dx.doi.org/10.1109/icese46178.2019.9194677.

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Martin, A., T. Miranda Lakshmi, and V. Prasanna Venkatesan. "A business intelligence framework for business performance using data mining techniques." In 2012 International Conference on Emerging Trends in Science, Engineering and Technology (INCOSET). IEEE, 2012. http://dx.doi.org/10.1109/incoset.2012.6513936.

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Ahmed, Bashar, Fadi Amroush, and Mohamed Larbi Ben Maati. "The implementation trends of intelligence E-CRM in business process." In 2016 4th IEEE International Colloquium on Information Science and Technology (CIST). IEEE, 2016. http://dx.doi.org/10.1109/cist.2016.7805080.

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"BUSINESS INTELLIGENCE - State of the Art, Trends, and Open Issues." In International Conference on Knowledge Management and Information Sharing. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002303602960300.

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Ghosh, Partha, Subhranil Som, and Soumya Sen. "Business Intelligence Development by Analysing Customer Sentiment." In 2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2018. http://dx.doi.org/10.1109/icrito.2018.8748517.

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Tsai, Chia-Chi, Chao-Lin Liu, Wei-Jie Huang, and Man-Kwan Shan. "Hidden Trends in 90 Years of Harvard Business Review." In 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, 2012. http://dx.doi.org/10.1109/taai.2012.56.

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Atanasovski, Atanasko, Zorica Bozinovska Lazarevska, and Marina Trpeska. "CONCEPTUAL FRAMEWORK FOR UNDERSTANDING EMERGING TECHNOLOGIES THAT SHAPE THE ACCOUNTING AND ASSURANCE PROFESSION OF THE FUTURE." In Economic and Business Trends Shaping the Future. Ss Cyril and Methodius University, Faculty of Economics-Skopje, 2020. http://dx.doi.org/10.47063/ebtsf.2020.0005.

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We are currently on the verge of the fourth industrial revolution (industry 4.0) that will fundamentally change the way in which businesses and individuals operate. It is characterized by the integration of both physical and virtual world with a new pulse for greater automation and autonomy of business processes without or limited need of human intervention. Cloud computing, the internet of things, big data and data analytics, artificial intelligence and machine learning, blockchain, augmented reality are among the most exploited contributing technologies. This paper provides a conceptual fram
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AlArmouty, Batool, and Salam Fraihat. "Data Analytics and Business Intelligence Framework for Stock Market Trading." In 2019 2nd International Conference on new Trends in Computing Sciences (ICTCS). IEEE, 2019. http://dx.doi.org/10.1109/ictcs.2019.8923059.

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Reports on the topic "Trends in Business Intelligence"

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Kramer, Mitchell. Oracle Business Intelligence. Patricia Seybold Group, 2002. http://dx.doi.org/10.1571/pr3-8-02cc.

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Seybold, Patricia. Understanding Digitization: Trends in Business Models. Patricia Seybold Group, 2003. http://dx.doi.org/10.1571/bp2-6-03cc.

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Burger, Johan. Africa Digest: Trends and Issues in Business Vol. 2019-02. Nanyang Business School, 2019. http://dx.doi.org/10.32655/africadigest.2019.02.

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Burger, Johan. Africa Digest: Trends and Issues in Business Vol. 2019-04. Nanyang Business School, 2019. http://dx.doi.org/10.32655/africadigest.2019.04.

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Burger, Johan. Africa Digest: Trends and Issues in Business Vol. 2019-06. Nanyang Business School, 2019. http://dx.doi.org/10.32655/africadigest.2019.06.

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Burger, Johan. Africa Digest: Trends and Issues in Business Vol. 2019-08. Nanyang Business School, 2019. http://dx.doi.org/10.32655/africadigest.2019.08.

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Burger, Johan. Africa Digest: Trends and Issues in Business Vol. 2019-10. Nanyang Business School, 2019. http://dx.doi.org/10.32655/africadigest.2019.10.

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Burger, Johan. Africa Digest: Trends and Issues in Business Vol. 2019-12. Nanyang Business School, 2019. http://dx.doi.org/10.32655/africadigest.2019.12.

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Burger, Johan. Africa Digest: Trends and Issues in Business Vol. 2020-14. Nanyang Business School, 2020. http://dx.doi.org/10.32655/africadigest.2020.14.

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Burger, Johan. Africa Digest: Trends and Issues in Business Vol. 2020-16. Nanyang Business School, 2020. http://dx.doi.org/10.32655/africadigest.2020.16.

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