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Relevant bibliographies by topics / Business intelligence

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Journal articles
Dissertations / Theses
Books
Book chapters
Conference papers
Reports

Academic literature on the topic 'Business intelligence'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Business intelligence"

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Quijada, Carlos Alfonso. "Business intelligence." Realidad Empresarial, no. 9 (July 24, 2020): 45–48. http://dx.doi.org/10.5377/reuca.v0i9.10068.

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Las empresas que implementen a tiempo procesos de business intelligence con el fin de transformar los datos en información valiosa para tomar mejores decisiones tendrán una ventaja sobre sus competidores. Y quienes hagan caso omiso de esta tendencia corren el riesgo de quedarse rezagados y de hasta quedar fuera del mercado en el mediano plazo. Realidad Empresarial No. 9, 2020: 45-48

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Pinto Ferreira, Antonio Augusto, Natalia Talan Freitas Alves, Silvio Francisco Morgon, and Solange Pereira dos Santos. "BUSINESS INTELLIGENCE." SITEFA - Simpósio de Tecnologia da Fatec Sertãozinho 3, no. 1 (2021): 268–74. http://dx.doi.org/10.33635/sitefa.v3i1.113.

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O conceito de Business Intelligence (BI) tem sido amplamente utilizado nas grandes empresas. São muitos os relatos de aumento de renda e redução de custos justificando o valor investido na implantação e manutenção das ferramentas e analistas necessários. Porém, a maior parte das empresas do Brasil é constituída por micro ou pequenas empresas e o conceito de BI não tem a mesma amplitude de utilização. Isso ocorre porque os recursos dessas empresas é limitado e o custo de um BI é alto. Utilizando a pesquisa bibliográfica e documental, este artigo mostra como as micro e pequenas empresas são cara

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Post, Gerald V., and Albert Kagan. "Business Intelligence." International Journal of Business Intelligence Research 3, no. 3 (2012): 16–28. http://dx.doi.org/10.4018/jbir.2012070102.

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Data mining and business intelligence tools have been adding features and gaining uses, and statistical tools developed for data mining tasks often require advanced knowledge and training to apply. Development of these selected tools requires tradeoffs in ease of use and power. This study asks users to evaluate the various tools and attributes to identify the relative value of the various components and provide direction for improvements and new tools. Evaluating multi-attribute software is a challenging task, and this study provides a method of evaluating the data and analyzing tradeoffs. A s

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Chamoni, Peter, and Markus Linden. "Business Intelligence." WiSt - Wirtschaftswissenschaftliches Studium 40, no. 6 (2011): 276–81. http://dx.doi.org/10.15358/0340-1650-2011-6-276.

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Chandrasekhar, S. "Business Intelligence." Asia Pacific Business Review 1, no. 1 (2005): 84–88. http://dx.doi.org/10.1177/097324700500100110.

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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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Reinkemeyer, Lars, Markus Gallenberger, Marco Beria, Uwe Müller, and Tim Hahn. "Business Intelligence." Digitale Welt 3, no. 1 (2018): 44–52. http://dx.doi.org/10.1007/s42354-019-0149-z.

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Beck, Chris. "Business Intelligence." Manufacturing Management 2020, no. 1 (2020): 34–35. http://dx.doi.org/10.12968/s2514-9768(22)90109-7.

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G., Mahendran. "Business Intelligence." Shanlax International Journal of Commerce 7, S1 (2019): 261–62. https://doi.org/10.5281/zenodo.3451722.

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Business Intelligence systems combine operational data with analytic tools to present complex and competitive information to planners and decision-makers. Although business intelligence systems are widely used in industry, research about them is limited. Effective business intelligence systems must account for goal-oriented behavior and decision-makers.  

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Dissertations / Theses on the topic "Business intelligence"

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Хмелик, Людмила Яківна, Людмила Яковлевна Хмелик, Liudmyla Yakivna Khmelyk, and R. O. Atamanyuk. "Business intelligence." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/13506.

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Strejčková, Lucie. "Business Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-124609.

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The diploma project deals with the issue of Business Intelligence, it focuses on tools used for data analysis and presentation. The project is divided into two parts -- the theoretical and practical one. The theoretical one applies to the characterization of the principle, the description of the architecture components and presentation techniques. The aim of this project is to suggest new suitable analytical tools and graphic interface of BI system for small and medium-sized businesses. Using selected tools is illustrated on a specific example.

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Bolton, Björn, and Axel Jakobsson. "Business Intelligence: Transforming Intelligence into Actions." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354890.

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Business Intelligence (BI) is a topic that has attracted attention from both researchers and practitioners. Despite BI's promising possibilities, few organizations are able to transform BI-insights into actions. Thus, the purpose of this study was to understand: How organizations can transform BI insights into actions, and which capabilities impact this transformation. In order to obtain this understanding, a case-study was conducted. We interviewed six consultants from leading consultancy firms, and a practitioner who uses BI on a daily basis. Prior to this, the authors reviewed previous BI l

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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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Sklenář, Ondřej. "Nástroje Business Intelligence - analýza trhu nástrojů Self-service Business Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-192447.

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The diploma thesis is focused on a specific area of self-service business intelligence. The advantage of this approach to the business intelligence is reduction of demands on IT development and using tools by end users. They can generate reports and outputs according to their requirements during the relevant time period. The theoretical part is dedicated to illustrate this concept with all benefits and risks. Furthermore, it describes trends occurring in the domain of business intelligence. These trends transcend outline the domain of business intelligence and are valid throughout IT. The prac

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Slebodník, Matej. "Implementace Business Intelligence." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444688.

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The diploma thesis deals with the implementation of a Business Intelligence solution for the endowment fund helping with debt relief for people and thus replaces the current process of manually created reports. The main goal of this solution is to bring to the endowment fund the opportunity to make faster and better decisions, as well as many other benefits associated with Business Intelligence.

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Bľanda, Lukáš. "Implementácia Business Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-17181.

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This diploma thesis deals with the implementation of Business Intelligence solution in a travel industry company and its interconnection to Balanced Scorecard as one of the enterprise performance management tool. First part focuses on pointing out the main theoretical foundations of Balanced Scorecard and Business Intelligence. It describes Balanced Scorecard and its principles and it also defines Business Intelligence, the architecture of BI and the implementation process generally. In the second part the particular metrics model is generated and a few specific metrics from this model are imp

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Křižka, Radek. "Mobilní Business Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-150094.

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Business Intelligence (BI) has now become a core part to many businesses due to the benefits it brings -- the ability to access data in a common format from multiple sources and making decisions that help organization to move closer to its goals. Many workers today spend most of their time away from their office and can't easily access corporate data. The use of the Internet on mobile devices has changed the way people consume information. Embracing mobile computing means having the ability to access information anywhere, anytime and as a result consumers can make decisions faster. Thesis is f

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Dzimko, Miroslav. "Řešení Business Intelligence." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318585.

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Diploma thesis presents an evaluation of the current state of the company system, identification of critical areas and areas suitable for improvement. Based on the theoretical knowledge and analysis results, commercial Business Intelligence software is designed to enhance the quality and efficiency of the company's decision-support system and the introduction of an advanced Quality Culture system. The thesis reveals critical locations in the corporate environment and opens up space to design improvements to the system.

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Turricchia, Elisa <1984&gt. "Pervasive Business Intelligence." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5232/1/TURRICCHIA_ELISA_TESI.pdf.

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In the last few years, a new generation of Business Intelligence (BI) tools called BI 2.0 has emerged to meet the new and ambitious requirements of business users. BI 2.0 not only introduces brand new topics, but in some cases it re-examines past challenges according to new perspectives depending on the market changes and needs. In this context, the term pervasive BI has gained increasing interest as an innovative and forward-looking perspective. This thesis investigates three different aspects of pervasive BI: personalization, timeliness, and integration. Personalization refers to the capac

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Books on the topic "Business intelligence"

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Werther, Iron. Business Intelligence. Carl Hanser Verlag GmbH & Co. KG, 2013. http://dx.doi.org/10.3139/9783446436350.

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Skyrius, Rimvydas. Business Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67032-0.

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Fakir, Mohamed, Mohamed Baslam, and Rachid El Ayachi, eds. Business Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76508-8.

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Fakir, Mohamed, Mohamed Baslam, and Rachid El Ayachi, eds. Business Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06458-6.

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Zimányi, Esteban, ed. Business Intelligence. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05461-2.

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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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Marcel, Patrick, and Esteban Zimányi, eds. Business Intelligence. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61164-8.

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Zimányi, Esteban, and Alberto Abelló, eds. Business Intelligence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39243-1.

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Book chapters on the topic "Business intelligence"

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Cole, Tim. "Intelligent Business statt Business Intelligence." In Erfolgsfaktor Künstliche Intelligenz. Carl Hanser Verlag GmbH & Co. KG, 2020. http://dx.doi.org/10.3139/9783446465398.001.

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Niu, Li, Jie Lu, and Guangquan Zhang. "Business Intelligence." In Cognition-Driven Decision Support for Business Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03208-0_2.

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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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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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Garrett, Rob. "Business Intelligence." In Pro SharePoint 2013 Administration. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4942-9_12.

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Gray, Paul. "Business Intelligence." In Encyclopedia of Operations Research and Management Science. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_1179.

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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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Millham, Richard, Israel Edem Agbehadji, and Emmanuel Freeman. "Business Intelligence." In Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6695-0_11.

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Nikolik, Dragan. "Business Intelligence." In A Manager’s Primer on e-Networking. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-0862-4_17.

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Alff, Sascha C., and Winfried Hungert. "Business Intelligence." In Innovation durch Geschäftsprozessmanagement. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17138-3_12.

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Conference papers on the topic "Business intelligence"

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Alduweib, Eman, Muhammad Abu Arqoub, and Waseem Alromema. "Explainable Artificial Intelligence for Business Intelligence." In 2025 1st International Conference on Computational Intelligence Approaches and Applications (ICCIAA). IEEE, 2025. https://doi.org/10.1109/icciaa65327.2025.11013313.

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Jwala, V. Ch, Bhavesh Joshi, Pavan Mishra, Aahana Saha, Shweta Goyal, and Bandla Ramesh. "Transforming Business Intelligence using Data Analytics and Artificial Intelligence." In 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES). IEEE, 2024. https://doi.org/10.1109/ic3tes62412.2024.10877547.

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de Carvalho, Duarte, Ricardo Rocha, Vanessa Fernandes, and Sofia Neves. "Business Intelligence." In the Ninth International C* Conference. ACM Press, 2016. http://dx.doi.org/10.1145/2948992.2949011.

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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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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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Li, Kin Fun. "Internet Business Intelligence." In 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC). IEEE, 2010. http://dx.doi.org/10.1109/3pgcic.2010.45.

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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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Mazón, Jose-Norberto, Jose Jacobo Zubcoff, Irene Garrigós, Roberto Espinosa, and Rolando Rodríguez. "Open business intelligence." In the 2012 Joint EDBT/ICDT Workshops. ACM Press, 2012. http://dx.doi.org/10.1145/2320765.2320812.

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Su, Jianwen, and Yan Tang. "Business Intelligence Revisited." In 2017 Fifth International Conference on Advanced Cloud and Big Data (CBD). IEEE, 2017. http://dx.doi.org/10.1109/cbd.2017.9.

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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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Reports on the topic "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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Singh, Raj R., and George Percivall, eds. Geospatial Business Intelligence (GeoBI). Open Geospatial Consortium, Inc., 2012. http://dx.doi.org/10.62973/09-044r3.

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Amekedzi, Komivi. Using Business Intelligence Tools to Make Data-Driven Decisions. Iowa State University, 2021. http://dx.doi.org/10.31274/cc-20240624-1554.

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Nduka, Williams. The Significance of Artificial Intelligence in Business Process Management. Iowa State University, 2023. http://dx.doi.org/10.31274/cc-20240624-1492.

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Lobo, Kris. Emotional Intelligence of Family Business Owners: Exploring Gender and Relationship Dimensions. Philippine Institute for Development Studies, 2023. http://dx.doi.org/10.62986/pn2023.23.

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This Policy Note examines the role of emotional intelligence (EI) among Filipino family businesses. Contrary to common beliefs, this study finds no direct correlation between gender, roles, and EI. It emphasizes the importance of EI training for effective emotional management and highlights that EI can be learned and improved through experiences and challenges. These findings also differ from established studies due to unique cultural elements shaping family businesses in the Philippines. The Note advocates collaborative efforts among the government, private, and academic sectors to enhance EI

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Shakya, Parash. Role of business intelligence and information technology in developing countries. Iowa State University, 2019. http://dx.doi.org/10.31274/cc-20240624-1243.

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Schacher, Gordon, Nelson Irvine, and Roger B. Hoyt. Joint Intelligence Operations Center (JIOC) Baseline Business Process Model & Capabilities Evaluation Methodology. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada562584.

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Cao, Larry. Handbook of Artificial Intelligence and Big Data Applications in Investments. CFA Institute, 2023. http://dx.doi.org/10.56227/23.1.5.

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Learn how asset managers are leveraging data science to garner investment insights, build more resilient portfolios, make better trading decisions, streamline client services, develop client-centric products, and gather business intelligence.

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Li, Richard. The Paris Agreement on climate change. LegalOne Global Limited, 2025. https://doi.org/10.62436/a-1746676185509.

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This article provides a brief overview of the Paris Agreement and what the future holds in society and for businesses. For further in-depth analysis on this topic and a tailored report to align with your specific business needs, please contact us at LegalOne Intelligence.

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Redmond-Neal, Amanda Lee. Business intelligence for human resources. Toward a new paradigm for report development and delivery. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1173186.

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