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1
Post, Gerald V., and Albert Kagan. "Business Intelligence." International Journal of Business Intelligence Research 3, no. 3 (July 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 structured equation model (SEM) is applied to the process. Each of the existing tools evaluated have different relative strengths, so it is important to match the organization’s primary tasks to the relative strengths of the tool.
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Tešendić, Danijela, and Danijela Boberić Krstićev. "Business Intelligence in the Service of Libraries." Information Technology and Libraries 38, no. 4 (December 16, 2019): 98–113. http://dx.doi.org/10.6017/ital.v38i4.10599.
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This paper describes implementation of business intelligence tools in the libraries. A complete procedure for building a data warehouse is described on the case study of the BISIS library management system. During development of a data warehouse model, user requirements about reporting are detected and structure of already existing transactional databases in the BISIS system is analysed. Based on this analysis, three data warehouse models have been proposed that would satisfy the requirements for analytical processing of data. The paper presents the usage of one OLAP tool, but the proposed data warehouse model is independent of the choice of OLAP tools and any other tool can be integrated with the proposed data warehouse.
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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 (August 15, 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 connections and to forecast the future market evolutions. From this perspective, we consider that students need to learn theory and practical application about BI. After an overview of the BI main concepts, we choose to use the facilities of Jaspersoft BI software; to model the most frequently used analysis requirements, displaying the most relevant data and key indicators, following the steps of a BI system.
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Ernanto, Frenda. "PEMANFAATAN BUSINESS INTELLIGENCE SIMPONI DALAM MEMONITOR REALISASI PENERIMAAN NEGARA BUKAN PAJAK." JURNAL MANAJEMEN KEUANGAN PUBLIK 2, no. 1 (December 27, 2018): 47–55. http://dx.doi.org/10.31092/jmkp.v2i1.205.
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Business Intelligence development based on Sistem Informasi PNBP Online (SIMPONI) database offers several advantages, especially in fast and easy monitoring of Non-Tax Revenue realization. This study aims to elaborate the importance of Business Intelligence and its data accuracy compared to Ministry/Agency report of Non-Tax Revenue. The result finds that Business Intelligence is a powerfull tool in presenting Non-Tax Revenue data. However, if there are some corrections in the revenue data, the Business Intelligence data must be adjusted to maintain its accuracy. Pengembangan Business Intelligence yang bersumber dari data Sistem Informasi PNBP Online (SIMPONI) menawarkan beberapa keunggulan, terutama dalam memonitor realisasi Penerimaan Negara Bukan Pajak secara cepat dan mudah. Penelitian ini bertujuan untuk mengelaborasi pemanfaatan Business Intelligence dan tingkat akurasinya dalam menyajikan data PNBP dibandingkan dengan laporan yang disampaikan Kementerian/Lembaga. Hasil penelitian menunjukkan Businness Intelligence merupakan tools yang sangat berguna dalam menyajikan data realisasi PNBP. Namun demikian, dalam hal terdapat koreksi data, perlu dilakukan penyesuaian pada data Business Intelligence
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McBride, Neil. "Virtuous Business Intelligence." International Journal of Business Intelligence Research 6, no. 2 (July 2015): 1–17. http://dx.doi.org/10.4018/ijbir.2015070101.
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This paper examines three approaches to ethics and focuses on the development of character and the practice of virtue in business intelligence (BI). The paper describes BI as a tool for mediating the relationships between pairs of stakeholders such as management and customer. Three aspects of the relationship which benefit ethically from the practice of virtues are discussed: the purpose of the BI, the prejudices behind the BI and the power of the stakeholders. The connection between the ethics of BI and the corporate ethics is discussed. Without the practice of virtues, BI may be recruited to support corporate vices of exploitation, exposure, exclusion, coercion, control and concealment. The paper seeks to highlight the importance of ethical issues in BI practice and suggests the development of an ethical balanced scorecard as a vehicle for developing ethical senstitivity.
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Ul Haq, Muh Zia, and Suharjito Suharjito. "Usability Analysis of Business Intelligence Tool Based Table Virtualization." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 2 (February 1, 2018): 431. http://dx.doi.org/10.11591/ijeecs.v9.i2.pp431-437.
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<p>The use of Business Intelligence for Small-Mid Enterprise (SME) no longer impeded by the size of the resources required. The study in this paper provides an overview of how the use of proposed software can be used as an effective and efficient alternative solution in building BI Tools combined with table virtualization utilization in SQL. To know the level of usability and suitability of the developed BI Tool, the researcher conducted evaluation and analyzation using 2 (two) tools (Heuristics Evaluation and UMUX-Lite). The result found the comparison between the output (Business Intelligence Tool) produced by PHP Report Maker has a better level of usability and suitability than its competitors. Although both are in a decent median, the output needs preferences and customizations to achieve maximum functionality like well-known other development software. </p>
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Asaul, V. V., and A. I. Taranov. "Business intelligence as a tool to increase organization's competitiveness." Вестник гражданских инженеров 17, no. 6 (2020): 214–19. http://dx.doi.org/10.23968/1999-5571-2020-17-6-214-219.
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The constant development of the economy leads to the need for more sophisticated and effective tools that would help organizations adapt to new market changes and maintain a competitive environment. In addition, business intelligence can serve as a tool to increase the organization’s competitiveness. Business intelligence also serves as one of the ways to get complete information about the state of the organization, as well as the company's competitors in the market and the level of interaction with customers. The article analyzes modern legislation, identifies problems in the field of business intelligence. The ways to solve these problems are offered, the use of business intelligence system to improve the organization’s competitiveness is proposed.
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Brink, James R. "Using Artificial Intelligence as a Strategic Business Tool." JOM 40, no. 2 (February 1988): 51. http://dx.doi.org/10.1007/bf03258838.
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Kultygin, Oleg P., and Irina Lokhtina. "Business intelligence as a decision support system tool." Journal of Applied Informatics 16, no. 91 (February 26, 2021): 52–58. http://dx.doi.org/10.37791/2687-0649-2021-16-1-52-58.
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The relevance of the topic considered in the article is to solve the problems of designing management decision support systems for enterprises based on business analytics technology. The research purpose is to analyze the applied methodologies during the design stage of the enterprise information system, to develop principles for using management decision support systems based on business intelligence. The problem statement is to analyze the technologies available on the market, which deal with business analyst systems, their potential use for decision support systems, and to identify the main stages of business analyst for enterprises. Business intelligence (BI) is information that can be obtained from data contained in the operational systems of a firm, enterprise, corporation, or from external sources. The BI can help the management of a company make the best decision in the chosen sphere of human activity faster, and, consequently, win the competition in the market for goods and services. A decision support system (DSS) which uses business intelligence, is an automated structure designed to assist professionals in making decisions in a complex environment and to objectively analyze a subject area. The decision support system is the result of the integration of management information systems and database management systems (DBMS). The internal development of BI is more cost-effective. The methods used are Structured Analysis and Design Technique and Object-oriented methods. The results of the research: the analysis of the possibilities was conducted and recommendations relating to the use of BI within DSS were given. Competition between BI software in business analysts reduces the cost of products created making them accessible to end-users – producers, traders and corporations.
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Soszka, Mgr Kamil. "Business Intelligence in managing modern enterprises." Kwartalnik Nauk o Przedsiębiorstwie 47, no. 2 (September 12, 2018): 64–71. http://dx.doi.org/10.5604/01.3001.0012.4730.
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In the operation of enterprises, information has always played a vital role, as it is the basis on which the decisions are made and the view regarding the upcoming events is shaped. The tool that allows for obtaining comprehensive information on the operation of a com-pany is the Business Intelligence (BI) system. Based on the results of his own qualitative research, the Author discusses the essence of BI in managing modern enterprises. He in-dicates the places where the application of this tool is most useful.
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Ponomarenko and Teleus. "Business analysis as an effective data processing tool." Problems of Innovation and Investment Development, no. 23 (April 10, 2020): 64–70. http://dx.doi.org/10.33813/2224-1213.23.2020.7.
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The subject of the research is the approach to the possibility of using business intelligence for integrated data processing and analysis in order to optimize the company’s activities. The purpose of writing this article is to study the concept of the BI-systems peculiarities use as one of the advanced approaches to the pro- cessing and analysis of large data sets that are continuously accumulated from various sources. Methodology. The research methodology is system-structural and comparative analyzes (to study the application of BI-systems in the process of working with large data sets); monograph (the study of various software solutions in the market of business intelligence); economic analysis (when assessing the pos- sibility of using business intelligence systems to strengthen the competitive position of companies). The scientific novelty consists the features of using the business analytics model in modern conditions to optimize the activities of companies through the use of complex information, which in many cases is unstructured, are identified. The main directions of working with big data are disclosed, starting from the stage of collection and storage in specialized repositories, and ending with a comprehensive analysis of information. The main advantages of using dashboards in the process of demonstrating research results are given. A comprehensive analysis of software products in the business intelligence market has been carried out. Conclusions. The use of business intelligence allows companies to optimize their activities by making effective management decisions. The availability of a large number of BI tools al- lows company to adapt the analysis system in accordance with available data and existing needs of the company. Software solutions make it possible to build dash- boards with the settings of the selected system of indicators.
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Ratia, Milla, Jussi Myllärniemi, and Nina Helander. "The new era of business intelligence." Meditari Accountancy Research 26, no. 3 (August 13, 2018): 531–46. http://dx.doi.org/10.1108/medar-08-2017-0200.
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Purpose As the health care sector is changing rapidly, there is a growing need to develop new ways to make data-driven decisions, especially at the organizational level. Data utilization, like business intelligence (BI) activities, benefits health care organizations. The purpose of this paper is to study the potential of Big Data and the utilization of BI tools in creating value in the private health care industry in Finland. Design/methodology/approach Intellectual capital (IC) components and Möller et al.’s (2005) work on value capabilities are used as a framework to point out the roles of data utilization and BI tools in value creation. Thematic interviews enable understanding of the value creation based on Big Data potential and utilization of BI tools in the Finnish private health care industry. Findings The findings will provide an understanding of the existing data sources and BI tools used in private health care. In addition, it provides an insight into the future-oriented Big Data potential, which can create new business concepts. The approach provides valuable insights for value identifying the future needs of data utilization and creates an understanding on the current state within the private health care sector. Originality/value Data-driven value creation is one of the most discussed topics in private health care sector. By analyzing the current data-source utilization, challenges with data and BI tool utilization and the future vision and development roadmaps, the authors gain a better understanding of the IC components and value creation capabilities.
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Görcsi, Gergely, Gergő Barta, and Zsuzsanna Széles. "Üzleti intelligencia megoldások alkalmazásának sikertényezői - A hazai szolgáltató szektor nagyvállalatainak körében végzett mélyinterjús kutatás." Információs Társadalom 19, no. 2 (December 17, 2019): 23. http://dx.doi.org/10.22503/inftars.xix.2019.2.2.
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A vállalatok működése szempontjából a döntéstámogató funkció folyamatos fejlesztése, monitorozása kiemelt jelentőségű, hiszen az vezetést támogató eszközként segíti a menedzsmentfeladatok ellátását. Az üzleti intelligencia (business intelligence, BI) olyan infokommunikációs megoldás, mely a vállalati rendszerekből különböző adatforrásokat felhasználva képes az adatok összekapcsolására és elemzésére. A napi üzletmenet gördülékeny biztosítása céljából alkalmazott tranzakciós rendszerektől eltérően a BI-eszközök beszámolás orientáltak, a fókusz a döntéstámogatásra helyeződik. A kutatás a fogalmak tisztázását követően képet ad a legfrissebb üzleti intelligencia trendekről. A tanulmány szakmai mélyinterjúk elemzésén keresztül betekintést nyújt az üzleti intelligencia megoldások világába. A kutatás eredményeként az olvasó képet kaphat a BI bevezetésétől várt eredményekről, az implementáció és a hosszú távú működtetés sikerkritériumait illetően.
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Gergely GORCSI - Gergo BARTA - Zsuzsanna SZELES
Success criteria for the application of business
intelligence solutions
In the running of any given company, continuous improvement and monitoring of decision support functions is crucial for such activities to serve as tools to support management tasks. Business Intelligence (BI) is an infocommunication tool that connects and analyses data from corporate systems using varied data sources. Unlike transactional systems that are used to ensure the sound operation of day-to-day business, BI tools are report-oriented, and focus on decision support. Reviewing related concepts, this research gives an overview of the latest business intelligence trends.
Our study sets out to provide an insight into the world of business intelligence solutions by analysing professional, in-depth interviews. Through our research, one will become familiar with the results expected from the introduction of BI, in relation to the success criteria of its implementation and long-term operation.
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Nowak, Malgorzata. "USE OF BUSINESS INTELLIGENCE TOOL IN HEALTH PROTECTION ENTITIES." Zeszyty Naukowe Politechniki Częstochowskiej Zarządzanie 32, no. 1 (December 2018): 274–84. http://dx.doi.org/10.17512/znpcz.2018.25.
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Spruit, Marco, and Tim de Boer. "Business Intelligence as a Service." International Journal of Business Intelligence Research 5, no. 4 (October 2014): 26–43. http://dx.doi.org/10.4018/ijbir.2014100103.
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Demand for business intelligence (BI) applications continues to grow even at a time when demand for most information technology (IT) products is low, showing the importance of BI products for a modern organization. However, globalization changes the way organizations use BI, where geographic location and time independency is becoming more and more important. Gartner's hype-cycle on BI depicts the technology of BI as a Service as being almost on top of the hype cycle, indicating there are high expectations of this new technology. This research advances on existing literature on business intelligence and cloud computing from a development perspective by introducing the concept of business intelligence as a service (BIaaS). The most important deliverable is the BIaaS capability maturity model (CMM) that is introduced here. The BIaaS CMM explains the conceptual model of BIaaS by the creation of the first BIaaS capability model containing key capabilities of BIaaS. The capability model is further enhanced with maturity levels depicting the importance of each BIaaS capability, a maturity matrix suggesting a roadmap for BIaaS solution development, and a BIaaS assessment model introducing a tool for finding problem areas in existing BIaaS solutions. The developed BIaaS CMM ought to support (starting) BIaaS vendors to develop BIaaS solutions by providing an assessment tool for BIaaS solutions. The assessment outcome provides the current maturity of the BIaaS solution and also includes problem areas for solution improvement. The introduction of the CApability Maturity Positioning (CAMP) method for the development of a maturity matrix, which results in the BIaaS maturity model, is significantly different from conventional maturity modeling. To calculate the weight of each capability from the BIaaS capability model, a thorough product review of existing business intelligence and cloud computing products is performed. Analysis of the results and normalizing the outcome of that analysis together with the introduction of a calculation mapping, is input for the creation of the maturity matrix. The maturity matrix is the essential foundation for the developed business intelligence as a Service capability maturity model, which is the main deliverable of this research.
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Zalieckaitė, Laima, and Indrė Miniotaitė. "Ataskaitų generavimo priemonių taikymas bankuose." Informacijos mokslai 58 (January 1, 2011): 110–25. http://dx.doi.org/10.15388/im.2011.0.3119.
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Besikeičianti ir sudėtinga išorinė verslo aplinka organizacijas, iš jų ir bankus, verčia aktyviai ir sparčiai reaguoti į rinkos pokyčius, ieškoti naujų galimybių, o tam reikalinga kokybiška ir operatyvi informacija, efektyvios rezultatų pateikimo ir analizės priemonės. Dinamiška rinkos situacija verčia bankus efektyviai valdyti ir vertinti rinkos riziką, t. y. turėti priemonių, leidžiančių įvairiais pjūviais analizuoti informaciją ir valdyti finansinės veiklos rodiklius. Maža to, valdoma įvairialypės informacijos šaltinių gausa lemia, kad duomenys tampa prieštaringi ir netikslūs. Šiame straipsnyje analizuojamas verslo įžvalgos technologijų sudedamosios dalies – ataskaitų generavimo priemonių, kurios padeda priimti efektyvius sprendimus ir sėkmingai spręsti iškylančias verslo problemas, taikymas bankuose.Pagrindiniai žodžiai: verslo įžvalgos technologijos, ataskaitų generavimo priemonės, ekspertinių sistemų technologija, verslo įžvalgos sistemos.Application of Report generation tools to banksLaima Zalieckaitė, Indrė Miniotaitė SummaryThe dynamic market situation is forcing banks to effectively manage and assess market risks, to have means to analyze various aspects of information management and financial performance, considering that the diverse sources of information, results, data are contradictory and inaccurate.The business intelligence technology is a tool that can help solve these problems. The report generation process is a very important tool for business intelligence technology. Bank managers of all levels rely on information in the reports when making business analysis and reports.The report generation process, changes in factor analysis show that a new approach to the environment of the bank accounts of the process generated, is qualitative changes and their implementation measures.Change is largely due to banks’ external environment and internal environment changes in the bank. Banks need a single universal set of data with all employees to analyze the data it required a cut. Unified data environment would allow a precise and clear definition of the data, and not to misinterpretation. Business intelligence systems based on the data storage, installation, and require the bank accounts of the generation business intelligence tools for installation. This would allow existing data to discover new patterns and possibilities to improve their performance.Following a thorough analysis of the reporting and assessment tools, these systems are classified in many ways, this paper reports the authors consists of generating the classification method. Summary of the classification method and the bank employees’ needs, the article defines the generation of reports should be supported by business intelligence system environment.As the report generation tools support a wide business intelligence systems (packages) spectrum are organizations, including banks, faced with problems when buying business intelligence systems. This article is for business intelligence systems, the selection criteria for banks in the environment, a bank employee needs and business intelligence systems vendor survey.According to the criteria of the banks analyzed and most suitable for the SAP BusinessObjects platform. However, to successfully implement a business intelligence system should be to determine which report generation tools will be implemented SAP BusinessObjects environment. It was therefore carried out a reporting tool features SAP BusinessObjects environment analysis and report generation steps up development bank model.Keywords: report generation tools, expert systems’ technology business intelligence systems.
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Azevedo, Ana, and Manuel Filipe Santos. "Closing the Gap between Data Mining and Business Users of Business Intelligence Systems." International Journal of Business Intelligence Research 3, no. 4 (October 2012): 14–53. http://dx.doi.org/10.4018/jbir.2012100102.
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Since Lunh first used the term Business Intelligence (BI) in 1958, major transformations happened in the field of information systems and technologies, especially in the area of decision support systems. BI systems are widely used in organizations and their importance is recognized. These systems present themselves as essential parts of a complete knowledge of business and an irreplaceable tool in the support to decision making. The dissemination of data mining (DM) tools is increasing in the BI field, as well as the acknowledgment of the relevance of its usage in enterprise BI systems. BI tools are friendly, iterative, and interactive, allowing business users an easy access. The user can manipulate directly data, having the ability to extract all the value contained into that business data. Problems noted in the use of DM in the field of BI is related to the fact that DM models are complex in order to be directly manipulated by business users, not including BI tools. The nonexistence of BI tools allowing business users the direct manipulation of DM models was identified as the problem. More of these issues, possible solutions and conclusions are presented in this article.
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Ghazanfari, M., M. Jafari, and S. Rouhani. "A tool to evaluate the business intelligence of enterprise systems." Scientia Iranica 18, no. 6 (December 2011): 1579–90. http://dx.doi.org/10.1016/j.scient.2011.11.011.
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Kopčeková, Alena, Michal Kopček, and Pavol Tanuška. "BUSINESS INTELLIGENCE IN PROCESS CONTROL." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 21, no. 33 (December 1, 2013): 43–53. http://dx.doi.org/10.2478/rput-2013-0039.
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Abstract The Business Intelligence technology, which represents a strong tool not only for decision making support, but also has a big potential in other fields of application, is discussed in this paper. Necessary fundamental definitions are offered and explained to better understand the basic principles and the role of this technology for company management. Article is logically divided into five main parts. In the first part, there is the definition of the technology and the list of main advantages. In the second part, an overview of the system architecture with the brief description of separate building blocks is presented. Also, the hierarchical nature of the system architecture is shown. The technology life cycle consisting of four steps, which are mutually interconnected into a ring, is described in the third part. In the fourth part, analytical methods incorporated in the online analytical processing and data mining used within the business intelligence as well as the related data mining methodologies are summarised. Also, some typical applications of the above-mentioned particular methods are introduced. In the final part, a proposal of the knowledge discovery system for hierarchical process control is outlined. The focus of this paper is to provide a comprehensive view and to familiarize the reader with the Business Intelligence technology and its utilisation.
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Kuznetsov, S. YU. "BUSINESS INTELLIGENCE OF THE NEW INNOVATIVE ENTERPRISE ECONOMY." Strategic decisions and risk management, no. 4 (October 26, 2014): 78–83. http://dx.doi.org/10.17747/2078-8886-2012-4-78-83.
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Business intelligence is a new management tool of an innovative enterprise. Business intelligence as a continuous innovation in business analytics of the new intellectual enterprise can integrate all activities into an efficient and sustainable business organization. BI promotes the prosperity of the firm, through intelligent management of strategies, finance, marketing, business processes, staff and assets in a world of unlimited information.
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Onunka, Chiemela, and Remigius C. Nnadozie. "Business intelligence as an essential cooperate management tool for the logistics industry." Corporate Ownership and Control 12, no. 2 (2015): 468–74. http://dx.doi.org/10.22495/cocv12i2c4p6.
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Present and historic cooperate data provide the platform for deep interrogation of business processes with the aim of producing effective and timeous reports for management decisions. This study explores the abstract link between the successes and failures of strategic decision-making process and business intelligence as integral factors making significant impact on planned corporate destinations particularly in the logistics industry. The study advocates efficient business intelligence and strategic reporting systems for enhanced cooperate decision support.
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Rajnoha, Rastislav, Róbert Štefko, Martina Merková, and Ján Dobrovič. "Business intelligence as a key information and knowledge tool for strategic business performance management." E+M Ekonomie a Management 19, no. 1 (March 8, 2016): 183–203. http://dx.doi.org/10.15240/tul/001/2016-1-013.
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Lin, Ching-Yi, Fu-Wen Liang, Sheng-Tun Li, and Tsung-Hsueh Lu. "5S Dashboard Design Principles for Self-Service Business Intelligence Tool User." Journal of Big Data Research 1, no. 1 (November 24, 2018): 5–19. http://dx.doi.org/10.14302/issn.2768-0207.jbr-18-2175.
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Non–information technology (IT) professionals and nonexpert casual users are increasingly adopting self-service business intelligence (SSBI) tools (such as Tableau, Qlik, and Power BI) to create data visualization dashboards. This study identified the most relevant dashboard design principles for SSBI tool users. The research approach included organizing a focus group in which most of the participants were non-IT professionals in health care, extracting recommended principles from the literature, applying these recommended principles by using data on quality of diabetes care to design relevant dashboards, and proposing the following 5S dashboard design principle framework: 1) seeing both the forest and trees, 2) simplicity through self-selection, 3) simplicity through significance, 4) simplicity through synthesis, and 5) storytelling. The third and fourth principles are novel and provide solutions to decision-making problems (such as conflicting results from excessive and discordant indicators) encountered by health care professional in the public sector as well as in other domains. The 5S dashboard design principles are easily memorized and practical and thus enable non-IT professionals and nonexpert casual users to design insightful dashboards efficiently by using SSBI tools.
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Amini, Mehran, Sara Salimi, Farid Yousefinejad, Mohammad J. Tarokh, and Sayyed M. Haybatollahi. "The implication of business intelligence in risk management: a case study in agricultural insurance." Journal of Data, Information and Management 3, no. 2 (May 22, 2021): 155–66. http://dx.doi.org/10.1007/s42488-021-00050-6.
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AbstractThe increasing data scales in today’s business sectors coupled with the necessity of risk management raise the importance of business intelligence tools as an integrated solution for the insurance industry. These tools have mostly been used to achieve effective risk management. Although methods of risk management in the insurance industry have been proposed many years ago, the research effort has primarily been focused on predictive analyses. This study aimed to investigate the role of business intelligence as a solution to illustrate its potential in risk management particularly for decision-makers in agricultural insurance. We hypothesized that this would make a preferable decision in uncertain conditions. Sample data from the online transaction process system of Iran agricultural insurance fund were preprocessed in SQL server. Multidimensional online analytical processing architecture was analyzed using Targit business intelligence tool. Our results identified financial risks that lead to a framework of controlling risk based on business intelligence in the agricultural insurance fund.
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Bazargani, Mahdi, and Elnaz Namazi. "A Study on a Combined Model in Business Intelligence for Improving Electronic Insurance." International Journal of Business Intelligence Research 6, no. 1 (January 2015): 49–55. http://dx.doi.org/10.4018/ijbir.2015010104.
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Business intelligence is one of the tools of IT in business and Information systems for management have been just developed theoretically, and have never fulfilled the demands of organizations, practically. The establishment and marketing of electronic insurance demands the readiness of tools and the foundation of IT. Business intelligence provides the managers with a collection of tools, techniques and methods in order to help them in better understanding of business state. Business intelligence techniques are applied by an optimized pattern in electronic insurance industry which its basis is merging two significant models in this field known as Kano Model and Model of Quality Function Deployment (QFD). Kano Model tool is a questionnaire filled by customers which they should answer to the questions with two positive and negative alternatives. These answers will lead to understanding quality demands of customers and considering basic demands, practical demands as well as motivational ones.
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Park, Jore, Wylci Fables, Kevin R. Parker, and Philip S. Nitse. "The Role of Culture in Business Intelligence." International Journal of Business Intelligence Research 1, no. 3 (July 2010): 1–14. http://dx.doi.org/10.4018/jbir.2010070101.
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Global business intelligence will struggle to live up to its potential if it fails to take into account, and accurately interpret, cultural differences. This paper supports this assertion by considering the concept of culture, explaining its importance in the business intelligence process, especially in foreign markets, and demonstrating that attention to culture is currently inadequate in most international business intelligence efforts. Without a tool capable of modeling social interaction in disparate cultures, BI efforts will under perform when extended to the global arena. The Cultural Simulation Modeler is examined as a means of enhancing essential cultural awareness. The core components of the modeler are explained, as are the limitations of automated information gathering and analysis systems.
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Borissova, Daniela, Ivan Mustakerov, and Dilian Korsemov. "Business Intelligence System via Group Decision Making." Cybernetics and Information Technologies 16, no. 3 (September 1, 2016): 219–29. http://dx.doi.org/10.1515/cait-2016-0045.
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Abstract In the paper a business intelligence tool based on group decision making is proposed. The group decision making uses a combinatorial optimization modeling technique. It takes into account weighted coefficients for evaluation criteria assigned by decision makers together with their scores for the alternatives in respect of these criteria. The proposed optimization model for group decision making considers also the knowledge level of the group members involved as decision makers. This optimization model is implemented in three-layer architecture of Web application for business intelligence by group decision making. Developed Web application is numerically tested for a representative problem for software choice considering six decision makers, three alternatives and 19 evaluation criteria. The obtained results show the practical applicability and effectiveness of the proposed approach.
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Costa, Renato, Álvaro Dias, Leandro Pereira, José Santos, and André Capelo. "The impact of artificial intelligence on commercial management." Problems and Perspectives in Management 17, no. 4 (January 8, 2020): 441–52. http://dx.doi.org/10.21511/ppm.17(4).2019.36.
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The essence of this research is to shed light on use and importance of artificial intelligence (AI) in commercial activity. As such, the objective of the present study is to understand the impact of AI tools on the development of business functions and if they can be affirmed as a means of help or as a substitute for these functions. In-depth interviews were conducted with 15 commercial managers from technological SMEs. The results indicate that all the participants use AI systems frequently, that these tools assist in developing of their functions, allowing having more time and better preparing to solve the commercial problems. The findings also indicate that the tools used by commercials are still somewhat limited, and companies should focus on their training and development in AI, as well as the training of their commercials. Furthermore, the results show that firms intend to use the data collection and the analytical tool that enable real-time response and customization according to customer needs.
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Scholtz, Brenda, Andre Calitz, and Ross Haupt. "A business intelligence framework for sustainability information management in higher education." International Journal of Sustainability in Higher Education 19, no. 2 (February 5, 2018): 266–90. http://dx.doi.org/10.1108/ijshe-06-2016-0118.
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Purpose Higher education institutions (HEIs) face a number of challenges in effectively managing and reporting on sustainability information, such as siloes of data and a limited distribution of information. Business intelligence (BI) can assist in addressing the challenges faced by organisations. The purpose of this study was to propose a BI framework for strategic sustainability information management (the Sustainable BI Framework) that can be used in HEIs. Design/methodology/approach The research applied the design science research methodology whilst using a South African HEI as a case study. The problems with sustainability information management were identified, and a theoretical framework was proposed. In addition, a practical BI software tool was developed as proof of concept to address these problems and to assist with the management of strategic sustainability information in an HEI. Findings The proposed sustainability BI tool was evaluated through heuristic and usability evaluations with senior management. The results indicated that the usability of the BI tool was positively rated and that the framework can assist in overcoming the constraints that HEIs face in effectively managing sustainability information. Research limitations/implications The research was limited to a single case. However, the theoretical framework was derived from and expanded on existing stakeholder theory, sustainability reporting theory and literature on BI dashboard development. The framework was implemented successfully in the Sustainable BI Tool prototype at the case study, and the results reveal in-depth information regarding information management for sustainability reporting in higher education. Practical implications The Sustainable BI Tool is a solution that integrates data from multiple areas of sustainability and provides a single integrated view of the information to stakeholders. The information is provided through performance dashboards, which provide predictive capabilities to enable management to report on sustainability and determine if the institution is meeting its strategic goals. The lessons learnt can also assist other HEIs considering implementing BI for sustainability reporting. Social implications Improved sustainability reporting for HEIs provided by the BI framework can improve the environmental and social impact of the educational community. Originality/value This study provides the most comprehensive framework for guiding the design of a BI tool to assist in effectively managing sustainability information in HEIs.
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Safadi, Murad, Jun Ma, Rohan Wickramasuriya, Daniel Daly, Pascal Perez, and Georgios Kokogiannakis. "Mapping for the Future: Business Intelligence Tool to Map Regional Housing Stock." Procedia Engineering 180 (2017): 1684–94. http://dx.doi.org/10.1016/j.proeng.2017.04.331.
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HAYASHI, Haruo, and Shosuke SATO. "TRENDREADER: A business tool for extracting intelligence from Customer Generated Digital Contents." Journal of Information Processing and Management 54, no. 1 (2011): 2–12. http://dx.doi.org/10.1241/johokanri.54.2.
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Ofori-Dwumfuo, G. O., and Esther Gyimah. "Business Intelligence as an ICT Tool for Financial Crime Detection in Ghana." Research Journal of Information Technology 5, no. 3 (September 1, 2013): 62–71. http://dx.doi.org/10.19026/rjit.5.5789.
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Blagojević, Marija, Miloš Papić, and Dušan Garabinović. "Business intelligence and open data: The possibilities for the derivation of valuable information in tourism domain." Menadzment u hotelijerstvu i turizmu 8, no. 2 (2020): 113–24. http://dx.doi.org/10.5937/menhottur2002113b.
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This paper aims to introduce the concept of data analysis which could easily be implemented by anybody involved in the subject matter with basic IT knowledge and skills. The paper is divided into two parts, the first of which presents an overview of related research from two points of view: (1) publications which refer to the analysis, or the overall use of open data from the tourism domain and (2) publications which use business intelligence tools to analyse tourism data. Results indicate that there is a significant number of publications but none of them combines the two issues in the field of tourism (open data and business intelligence). The second part refers to the possibilities of using Power BI, the business intelligence tool for analysing available open data about tourism in Serbia.
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Nemati, Hamid, Brad Earle, Satya Arekapudi, and Sanjay Mamani. "Do Users Go Both Ways?" International Journal of Business Intelligence Research 1, no. 3 (July 2010): 15–33. http://dx.doi.org/10.4018/jbir.2010070102.
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A challenging task for a data warehouse team is identifying users by their information needs and skills, and then providing the BI (Business Intelligence) tools that support each group to do their job effectively and efficiently. Recent studies have shown that the BI market place is saturated with a bewildering array of capabilities, functions and software suites. The current lack of consistent interpretation of Business Intelligence has created some confusion in the market place. This paper defines a framework to identify different user groups in an organization and map their needs and requirements to the different functionalities offered by different BI tool vendors. Through literature review, clear definitions of users were created and a set of BI tools that identifies functional needs was established. From that information, a questionnaire was developed that probed for the relationships between user types, tools, functions and other perceived values. Responses from 154 professionals were then used to develop a road map for the data warehouse project team in BI tool selection.
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Buntić, Luka, Mate Damić, and Ines Dužević. "Artificial intelligence in business models as a tool for managing digital risks in international markets." SHS Web of Conferences 92 (2021): 03005. http://dx.doi.org/10.1051/shsconf/20219203005.
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Research background: Through the ongoing trend of digitalization, organizations competing in international markets are getting more exposed to different technology related risks. Globalization and technology support enabled small tech-based companies to scale and expand their business. On the other hand, this has also led to a significant rise of different types of threats. Companies engaged in the process of internalization are more exposed to digital risks than companies competing on the local market. In order to help their companies to manage digital risks, governments use relevant institutions and resources. However, many organizations still largely depend on their own capabilities. A growing number of organizations uses artificial intelligence in business models as a new type of response to digital risks. Artificial intelligence could be the missing link that will help connect organizational and government resources for successful management of digital risks. Purpose of the article: To shed more light on this understudied issue, we conducted a literature review on the use of artificial intelligence in business models as a tool for managing digital risks on the global market. Methods: Literature review. Findings & Value added: We analysed the key determinants of artificial intelligence, their use in business models, and the way it can help organizations manage digital risks. Literature review summarizes the most important research on the topic and proposes new avenues for future research.
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QUAH, TONG-SENG. "AN IMPLEMENTATION OF METRICS EXTRACTION AND ANALYZER TOOL." International Journal on Artificial Intelligence Tools 16, no. 01 (February 2007): 121–28. http://dx.doi.org/10.1142/s0218213007003230.
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Nowadays, developers use N-tier application architecture which is a flexible and reusable structure for distribution to any number of client interfaces. In this study, we have implemented metrics extraction and analyzer tool for Business Tier and Data Access Tier source codes. We used existing object-oriented metrics and complexity software metrics as proposed for Business Tier code1,3. We use a set of metrics for the Data Access Tier that has been proposed in our previous study2. The primary aim of the implementation of the metric extraction and analyzer tool is to facilitate generation of software metrics which are used as independent variables in software quality prediction models. A secondary goal is to gather and present information on the attributes of source code to assist the programmers in managing the software projects. This tool is able to generate the principal components, correlation analysis report and descriptive statistics report. These analysis reports are essential reports for the study of software measurement and software quality management.
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Eger, Robert J., and Christy Smith. "Integrated Business Intelligence and Analytics: The Case of the Department of the Navy." Journal of Governmental & Nonprofit Accounting 10, no. 1 (January 1, 2021): 26–49. http://dx.doi.org/10.2308/jogna-17-001.
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ABSTRACT From a stakeholder perspective, this study explores the viability of data analytics as a tool in government fraud prevention. Using an interview methodology, we analyze the implications of business intelligence and analytics fraud tools on procurement stakeholders. We find that implementing and integrating business intelligence and a fraud program streamlines processes by consolidating information and presenting data within a unique program. The functioning data analytics program increases our stakeholders' confidence level without alleviating their responsibility to perform due diligence in their management functions. Our stakeholders recognized a potential increase in workload; however, they acknowledged no perceived increase in undue administrative burden. JEL Classifications: M48. Data Availability: Data are available from the authors.
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PRIYATNA, ADE. "IMPLEMENTASI SISTEM PENUNJANG KEPUTUSAN MENGGUNAKAN BUSINESS INTELLIGENCE UNTUK UMKM DI GUNUNG PUTRI KAB.BOGOR." Jurnal Khatulistiwa Informatika 7, no. 1 (June 21, 2019): 7–12. http://dx.doi.org/10.31294/jki.v7i1.97.
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Ketersedian data dan informasi menjadi hal yang penting dalam proses pengambilan keputusan sebagai bahan analisa perkembangan UMKM atau organisasi, kebutuhan data dan informasi yang lengkap benar dan tepat juga menjadi kebutuhan bagi kelangsungan perkembangan UMKM ke depan. Sistem penunjang keputusan menggunakan business intelligence ini menggunakan tool pengolahan dari microsoft yaitu sql server integration services (SSIS) dan sql server reporting services (SSRS). Business Intelligenci juga dapat membantu sebuah UMKM atau organisasi untuk mendapatkan pengetahuan yang jelas mengenai faktor-faktor yang mempengaruhi kinerja organisasi sehingga dapat membantu organisasi dalam pengambilan keputusan serta sekaligus meningkatkan keunggulannya (competitive advantage). Business Intelligenci juga dapat membantu suatu organisasi dalam menganalisis perubahan tren yang terjadi sehingga akan membantu organisasi menentukan strategi yang diperlukan dalam mengantisipasi perubahan tren tersebut. penelitian ini bertujuan untuk memberikan hasil dashboard atau report yang nantinya akan digunakan sebagai bahan pengambilan keputusan. penelitian ini dilakukan pada UMKM di Gunung Putri Kab. Bogor. sumber data diperoleh dari sistem lama atau dari user kemudian diolah dengan sistem baru. hasil antara report sistem baru dan sistem lama kemudian dibandingkan menggunakan software spss untuk melihat presentase perbedaan nilainya.
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Moreno Saavedra, Michael Smith, and Christian Bach. "Factors to Determine Business Intelligence Implementation in Organizations." European Journal of Engineering Research and Science 2, no. 12 (December 5, 2017): 1. http://dx.doi.org/10.24018/ejers.2017.2.12.527.
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In this study, we deploy review centric research of User Satisfaction, Cost Reducing, and Time Optimization impacting decision making on whether to implement Business Intelligence in organizations. The purpose of this paper is to present a literature review to examine the association between Business Intelligence and these three different factors. The primary goal of this study was to investigate the user’s satisfaction, cost reducing, and time optimization implications in order to choose Business Intelligence as a business tool. A comprehensive literature review of business intelligence created a theoretical foundation for this paper. Using the grounded theory, a model was developed and evaluated based on how User Satisfaction, Cost Reducing and Time Optimization impacts managerial decision-making using Business Intelligence. Using data from JSTOR and Academic Search Premier databases a new model is presented to encapsulate the highly dynamic interaction of user satisfaction, cost reducing, and time optimization with business intelligence to provide elements to consider the implementation of BI in a firm. This model highlights three key aspects that administrators consider in order to determine the possibility of taking Business Intelligence as an instrument in their daily duties. The theoretical model is limited to three factors only, which could be extended in future studies on this topic. Moreover, this model has been discussed using a theoretical perspective whereas practical contributions has been given less attention. This study provides an exciting opportunity to advance our knowledge of business intelligence to efficiently and flexibly help companies make the right decisions in real time, grasp business opportunities, and gain competitive advantage.
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Banica, Logica, Daniela Pirvu, and Cristian Stefan. "DISTRIBUTED BUSINESS INTELLIGENCE A NEW APPROACH IN ECONOMICAL EDUCATION." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 3, no. 3 (November 30, 2012): 413–18. http://dx.doi.org/10.24297/ijct.v3i3a.2947.
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The focus area of this paper is twofold: covering the theoretical background about cloud-based Business Intelligence, and the practical approach using the Jaspersoft environment. Also, by choosing the main application area, we emphasized the advantage of using such instruments as an educational tool, with the goal of giving the students an opportunity to discover data collections and explore analysis methods. After an overview of the Business Intelligence and Cloud Computing main concepts, we have pointed out the benefits of using BI in the Software as a Service (SaaS) philosophy, and we used the facilities of Jaspersoft BI software to model frequently used analysis requirements on several virtual firms
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أ. محمد بن عبدالله العمري, أ. محمد بن عبدالله العمري. "The Role of Business Intelligence in Administrative Development at King Abdulaziz University." journal of King Abdulaziz University Arts And Humanities 28, no. 13 (May 3, 2020): 77–110. http://dx.doi.org/10.4197/art.28-13.3.
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this study aimed at clarifying the concept of business intelligence and what is meant by administrative development, and to know the role of business intelligence in administrative development at King Abdulaziz University. Also, to explain the relationship between them, the extent of its application in the university, and providing solutions and proposals that contribute to that. The study adopted the descriptive approach and data was collected by reviewing the existing intellectual production in the field of study. Preparing a questionnaire as a tool and distributing it electronically, (46) who entered the study (administrative leaderships at King Abdulaziz University) responded to it. The most important result of this study is the existence of an interrelated relationship between business intelligence and administrative development. The perceptions of the study sample came to the extent of applying business intelligence in administrative development in an average way. Also, there is a great importance for training in business intelligence practices in administrative Development processes. This study recommends supporting and adopting senior management and making more effort to apply business intelligence in accomplishing administrative operations. As well as giving high importance to training on business intelligence and sending informational and awareness messages to leaders at the university. And the need to seek to keep abreast of developments of business intelligence techniques to carry out and update. Further experimental studies reflecting business intelligence applications in local organizations recommend this, to find out the level and constraints of applying business intelligence.
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Bartes, František. "Competitive intelligence – tool obtaining specific basic for strategic decision making TOP management firm." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 58, no. 6 (2010): 43–50. http://dx.doi.org/10.11118/actaun201058060043.
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This article deals with the Competitive Intelligence perception with the regards of its relation to Business Intelligence concept. In this paper the author makes his own definition of Competitive Intelligence. Author describes his Competitive Intelligence concept based on state intelligence service principles with the difference that author takes in consideration only the usage of legal information sources and legal working methods. The basis for his Competitive Intelligence understanding is kept in comparison of the two different meanings of the word information. Author states for the Competitive Intelligence needs is necessary to understand the word information in not only its own meaning as objective entity, but is it also needed relate this information with receiver (analytics), who is able to interpret the content of the information based on his/her knowledge and experiences. This way the author understands the Competitive Intelligence as a prediction about future external environment situation. Further the author describes the Competitive Intelligence as an application discipline of systems theory. In discussion part is the attention paid to Competitive Intelligence units in advanced industrialized countries, mainly to Competitive Intelligence Center and Innovation Intelligence Center.
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Sreesurya, Ilayaraja, Himani Rathi, Pooja Jain, and Tapan Kumar Jain. "Hypex: A Tool for Extracting Business Intelligence from Sentiment Analysis using Enhanced LSTM." Multimedia Tools and Applications 79, no. 47-48 (May 29, 2020): 35641–63. http://dx.doi.org/10.1007/s11042-020-08930-6.
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Nazier, Mostafa Medhat, Dr Ayman Khedr, and Assoc Prof Mohamed Haggag. "Business Intelligence and its role to enhance Corporate Performance Management." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 3, no. 3 (January 23, 2013): 08–15. http://dx.doi.org/10.24297/ijmit.v3i3.1745.
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As every small or large organization requires information to promote their business by forecasting the future trends, information is now the primary tool to understand the market trends and understand their own position in the market comparison to its competitors. Business intelligence is the use of an organizations disparate data to provide meaningful information and analyses to employees, customers, suppliers, and partners for more efficient and effective decision-making. BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), data warehouse (DW), statistical analysis, forecasting, and data mining.
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Kiełtyka, Leszek, and Klaudia Smoląg. "Analysis of Business Intelligence Solutions in the SME Sectors." Applied Mechanics and Materials 795 (October 2015): 123–28. http://dx.doi.org/10.4028/www.scientific.net/amm.795.123.
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Business intelligence (BI) solutions are aimed to help managers make decisions in enterprises. Through complex analysis, decision-makers are supported in building strategies of operation. Managers in small and medium-sized enterprises (SME) are also becoming more aware of the fact that conventional methodology of analysis of current events is insufficient. Therefore, the need arises for using the solutions that support the processes of data analysis, finding relationships between each other or pointing to important tendencies and anomalies. These systems were primarily oriented at larger enterprises. However, BI solutions are more and more often adjusted to SME enterprises, offering a complex tool to support decision-making processes. This paper presents key stages in evolution of BI systems and characterizes selected BI systems dedicated to small and medium enterprises (SMEs). Substantial barriers to implementation of BI systems in SMEs were also indicated.
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Huda, Asrul, and Noper Ardi. "Predictive Analytic on Human Resource Department Data Based on Uncertain Numeric Features Classification." International Journal of Interactive Mobile Technologies (iJIM) 15, no. 08 (April 23, 2021): 172. http://dx.doi.org/10.3991/ijim.v15i08.20907.
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Business Intelligence is very popular and useful for a better understanding of business progress these days, and there are many different methods or tools being used in Business Intelligence. It uses combination of artificial intelligence, data mining, math, and statistic to gain better understanding and insight on the business process performance. As employees have an important role in business process, the desire to have a tool for classifying and predicting their wages are desirable. In this research, we tried to analyzed dataset from Human Resource Department, and this dataset can be used to analyst the data in order to draw a conclusion about whether any employees would prematurely leave the company, and then, a preventive action based on those parameters can be proposed. This is a kind of predictive analytic system which bases on Naïve Bayes, and it can predict whether an employee would leave or stay according to his or her characteristics. But the Naïve Bayes itself does not enough. So we develop a way to solve the problem using uncertain Numeric features classification on it. The accuracy of the result is depended on the amount and effectiveness of the training sets.
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de las Heras-Rosas, Carlos, and Juan Herrera. "Innovation and Competitive Intelligence in Business. A Bibliometric Analysis." International Journal of Financial Studies 9, no. 2 (June 10, 2021): 31. http://dx.doi.org/10.3390/ijfs9020031.
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The business environment of today is complex and dynamic due to increasing global competition. The businessman needs to master and know all the information that has strategic value, and Competitive Intelligence is positioned as the most appropriate tool to achieve this goal. In recent decades, research and publications related to Competitive Intelligence have been increasing, although the military heritage of this field of research and the association with large corporations has meant that the literature is still at an early phase of development and specialisation. This paper analyses scientific articles on Competitive Intelligence from journals in the Web of Science database between 1985 and 2021. The main objective of this research has been to detect the topics that have been most related to Competitive Intelligence. The 589 papers analysed indicate that interest in this topic is relatively recent and that the most central topic in the sample is Innovation. The bibliometric analysis carried out indicates that Competitive Intelligence is closely linked to innovation processes in companies, facilitating its development. Furthermore, it highlights the importance that business management, together with the promotion of absorptive capacity and alignment around Competitive Intelligence will allow companies to improve their competitive advantages, as well as greater success with new products. Little research was found on aspects related to small and medium-sized enterprises and patents in relation to Competitive Intelligence. This research aims to show which are the most researched topics in relation to Competitive Intelligence, so that it can serve as support for future research, as well as for company managers in making decisions in relation to this topic.
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Bouaoula, Wassila, Farid Belgoum, Arifusalam Shaikh, Mohammed Taleb-Berrouane, and Carlos Bazan. "The impact of business intelligence through knowledge management." Business Information Review 36, no. 3 (August 11, 2019): 130–40. http://dx.doi.org/10.1177/0266382119868082.
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Competition among companies has intensified during the last few decades and hence monitoring the organization’s environment has become a priority. Monitoring the internal and external environments involves collecting, retrieving, managing, and disseminating large volumes of data and information. Companies are able to handle these complex tasks very efficiently through knowledge management (KM). A valuable tool of KM is business intelligence (BI), that is, the set of coordinated actions of research, treatment, and distribution of information that can help support the company’s competitiveness. This study aims to evaluate BI and quantitatively demonstrate its impact on the competitiveness of an organization. It proposes a methodology and applies it to a multinational food processing company to determine the influencing elements in BI and measure their impacts on the organization’s competitiveness. This study identified four variables of BI that are likely to have an impact on the competitiveness of the company: the search for information, the treatment of information, the utility of information, and information security. To collect the required data, this study developed a survey with five categories, namely, research, utility, treatment, security, and competitiveness, and the collected data were analyzed using second-order partial least square-structural equation modeling in SmartPLS 3. This study found that research, utility, treatment, and security have positive correlations with BI, and that the strength of the relationship between BI and each variable is significant. Furthermore, the results show that the BI elements can explain over 38 percent of the variation in the competitiveness of the company.
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Buława, Paweł, and Marcin Kowalczyk. "Application of the Clark-Wilson Model for Business Intelligence System Security Improvement." Challenges of Modern Technology 7, no. 3 (September 29, 2016): 16–19. http://dx.doi.org/10.5604/01.3001.0009.5444.
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This paper presents the theoretical issues of data security in information systems, a practical implementation of the Clark-Wilson model on the example of Business Intelligence tool, performing the function of a telecommunications operator sales module, and an evaluation of the increase of security of the system created, using risk analysis.
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Mafla-Cobo, Diego Mauricio, Diego León Peña-Orozco, and Luis Adrian Lasso-Cardona. "Business Games as a pedagogical tool for the development of skills in decision making." Revista UIS Ingenierías 19, no. 4 (May 30, 2020): 263–77. http://dx.doi.org/10.18273/revuin.v19n4-2020022.
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Before the Second World War, the Industrial Engineer's work focused on studies of plant distribution, quality control, production and inventories. Currently, these professionals are also required to carry out economic activities. The paper presents a business simulation game model that serves as a pedagogical tool for the teaching-learning process in the decision-making area, in the Marketing, Productionand Finance disciplines. The research was carried out in four phases: data collection, reference frame construction, design construction, and testing. The theoretical and practical foundations were laid for future research, which improve the proposed model with the addition of Artificial Intelligence, Machine Learning and Deep Learning techniques, which optimize data processing and provide better support to the decision-making process.