Relevant bibliographies by topics / Business intelligence Planning

Academic literature on the topic 'Business intelligence Planning'

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Published: 10 December 2022
Last updated: 30 January 2023

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Journal articles on the topic "Business intelligence Planning"

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Lin, Wei-Syun, I.-Chou Hung, Meng-Hsuan Chia, Chan-Chien Yu, and Kuo-Hua Wu. "Intelligence Itinerary Planning and Novel Tourism Business." Advanced Science Letters 21, no. 5 (May 1, 2015): 1117–21. http://dx.doi.org/10.1166/asl.2015.6045.

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Cristescu, Marian Pompiliu. "Business Intelligence Integrated Solutions." Land Forces Academy Review 22, no. 4 (December 1, 2017): 270–75. http://dx.doi.org/10.1515/raft-2017-0036.

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Abstract A Business Intelligence solution concerns the simple, real-time access to complete information about the business shown in a relevant format of the report, graphic or dashboard type in order help the taking of strategic decisions regarding the direction in which the company goes. Business Intelligence does not produce data, but uses the data produced by the company’s applications. BI solutions extract their data from ERP (Enterprise Resource Planning), CRM (Customer Relationship Management), HCM (Human Capital Management), and Retail, eCommerce or other databases used in the company.
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James, Roger. "Business intelligence and capacity planning: web-based solutions." British Journal of Hospital Medicine 71, no. 7 (July 2010): 395–98. http://dx.doi.org/10.12968/hmed.2010.71.7.48998.

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Rapoport, Elizabeth, and Anna Hult. "The travelling business of sustainable urbanism: International consultants as norm-setters." Environment and Planning A: Economy and Space 49, no. 8 (January 9, 2017): 1779–96. http://dx.doi.org/10.1177/0308518x16686069.

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This article examines the international travels of ideas about sustainable urban planning and design through a focus on private sector architecture, planning and engineering consultants. These consultants, who we refer to as the global intelligence corps (GIC), package up their expertise in urban sustainability as a marketable commodity, and apply it on projects around the world. In doing so, the global intelligence corps shape norms about what constitutes ‘good’ sustainable urban planning, and contribute to the development of an internationalised travelling model of sustainable urbanism. This article draws on a broad study of the industry (GIC) in sustainable urban planning and design, and two in-depth case studies of Swedish global intelligence corps firms working on Chinese Eco-city projects. Analysis of this material illustrates how the global intelligence corps’s work shapes a traveling model of sustainable urbanism, and how this in turn creates and reinforces particular norms in urban planning practice.
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Siskos, Evangelos, Konstantia Darvidou, N. P. Lytvynenko, and M. P. Khmara. "INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO BUSINESS PROCESSES." Actual Problems of International Relations, no. 147 (2021): 65–73. http://dx.doi.org/10.17721/apmv.2021.147.1.65-73.

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AI performs many tasks, including - creating and working in symbolic computing systems, creating and working in systems with fuzzy logic, cognitive psychology, understanding natural language, creating expert systems, computer linguistics, automation of various vocabulary and lexical cards, behavior planning (search and proposal of the most optimal way to achieve the goal, based on this situation), machine translation, creation and management of intelligent robots and groups of mobile robots, etc.
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Babbar, Sunil, and Arun Rai. "Competitive intelligence for international business." Long Range Planning 26, no. 3 (June 1993): 103–13. http://dx.doi.org/10.1016/0024-6301(93)90012-5.

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Nofal, Muhmmad I., and Zawiyah M. Yusof. "Integration of Business Intelligence and Enterprise Resource Planning within Organizations." Procedia Technology 11 (2013): 658–65. http://dx.doi.org/10.1016/j.protcy.2013.12.242.

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Orgaz, Gema Bello, David F. Barrero, María D. R-Moreno, and David Camacho. "Acquisition of business intelligence from human experience in route planning." Enterprise Information Systems 9, no. 3 (March 14, 2013): 303–23. http://dx.doi.org/10.1080/17517575.2012.759279.

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Tavera Romero, Carlos Andrés, Jesús Hamilton Ortiz, Osamah Ibrahim Khalaf, and Andrea Ríos Prado. "Business Intelligence: Business Evolution after Industry 4.0." Sustainability 13, no. 18 (September 7, 2021): 10026. http://dx.doi.org/10.3390/su131810026.

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Industry 4.0 is a set of technologies that companies require to promote innovation strategies and obtain a rapid response in dynamic markets. It focuses mainly on interconnectivity, digital technology, predictive analytics and machine learning to revolutionize the way companies operate and develop. Therefore, this article proposes and motivates the implementation of Industry 4.0 in organizations. Studying the state of the art and reviewing the current situation of business intelligence (BI) technology, the way it has positively impacted organizations at the economic and business level in terms of decision-making and some success stories implemented in different business, academic, social and governmental environments. Moreover, it addresses the future expected for Industry 4.0 primarily in BI and how companies should face this revolution. This article provides knowledge contribution about the current state and positive consequences of Industry 4.0, and high development in technology when implemented in the organization and the harmonization between production and intelligent digital technology.
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Pawar, Badrinarayan Shankar, and Ramesh Sharda. "Obtaining business intelligence on the internet." Long Range Planning 30, no. 1 (February 1997): 110–21. http://dx.doi.org/10.1016/s0024-6301(96)00100-8.

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Dissertations / Theses on the topic "Business intelligence Planning"

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Rusnák, Petr. "Plánovací aplikace v Business Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-199701.

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The main goal of this thesis is to create a manual for planning application named Targetty appropriately so, for the academical purposes used at University of Economics, Prague and also to create a demo of this application for Vetrotech company. The goal is fulfilled through detailed analysis of the application and by describing its functionality via screenshots of the application and their description. The app demo is created on data model which was suggested for this purpose. This thesis can be divided into three main parts. The first part considers the issue of the enterprise planning by both the economical and the Business Intelligence points of view. The planning principles are demonstrated via examples and explained into detail. The second part is dedicated to analysis of the planning application called Targetty and in the last one a demo of application for Vetrotech company is created. This thesis proves that the planning application Targetty is a suitable application for small or medium companies. It also contains an application demo for Vetrotech company based on data model which may be used for creating a solution for any companies specializing in commercial industry.
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Johnson, Richard James. "A cognitive approach to the representation of managerial competitive intelligence knowledge." Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/186884.

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With today's rapidly changing business environment, more and more businesses are using competitive intelligence to improve planning efforts, identify threats and opportunities and help avoid unpleasant surprises. However, to be effective, this intelligence must be gathered and communicated between managers. Two research questions will address these issues: (1) can a representation of competitive knowledge be developed that reflects managerial thought and (2) will a graphical computer tool based on this representation elicit a more complete representation of competitive intelligence knowledge in a more efficient manner relative to traditional methods? Various studies have shown managerial thought to be represented in several ways, e.g., conceptual groupings, hierarchically, and causally. However, by proposing that managers represent information about competitors in a story structure and integrating this proposal with the literature from competitive intelligence and strategic planning, a more complete conceptual model results. To validate the proposed conceptual model, an archival case study of three competitors in the computer workstation market was conducted. Following that, interviews were conducted with six MBA students with experience in competitive intelligence and with six managers. The transcripts from these interviews have been analyzed and the conceptual model has been modified based on input from this content analysis. A prototype was developed using the ConceptBase platform, an X-windows tool that provides both graphical and textual access to concepts and their relationships. The prototype will allow managers to create a graphical representation of their competitive knowledge. This representation will allow managers to locate gaps in their knowledge and to communicate their information to others. The prototype was validated by two different groups of MBA students by asking them to represent a given competitive situation. One group used pencil and paper while the second group used the prototype. Both the number of uncategorized concepts and the number of relationships differed significantly. This indicates that a more complete representation was created using the prototype. The two main contributions of this research are: (1) a model of competitive intelligence knowledge based on managerial cognition, and (2) a prototype that will facilitate the elicitation of competitive intelligence knowledge in a graphical and understandable manner.
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Haupt, Ross. "A business intelligence framework for supporting strategic sustainability information management in higher education." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/5319.

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In the higher education sector, a number of Higher Education Institutions (HEIs) are playing a leading role in promoting sustainable initiatives. Effectively managing these initiatives however can be a complex task and requires data and information from multiple aspects of operations. In an HEI, operating sustainably means ensuring financial sustainability, social sustainability, environmental sustainability and educational sustainability. In order to manage sustainability effectively, HEIs require an integrated tool that can provide information on all areas of sustainability. HEIs face a number of challenges in effectively managing sustainability information, such as siloed data and information, and poor sharing and communication of information. Business Intelligence (BI) can assist in overcoming many of the challenges faced by organisations in effectively managing strategic sustainability information. This study investigates both the constraints to effective sustainability information management and the challenges of BI. A BI framework to support effective strategic sustainability information management is proposed. Nelson Mandela Metropolitan University (NMMU) is one such HEI, which is affected by the challenges of managing strategic sustainability information. NMMU is therefore used as a case study in this research. A BI solution, Sustainable BI, was developed based on the proposed framework. The main goal of sustainable BI is to provide strategic management at NMMU with a tool that can provide integrated sustainability information that can assist in overcoming the challenges in effectively managing strategic sustainability information. Sustainable BI was evaluated by strategic management at NMMU who are responsible for managing sustainability at NMMU. The evaluation took place through a usability study. The study revealed to what extent Sustainable BI could effectively manage strategic sustainability information at NMMU. The BI framework was iteratively improved on based on the results of the evaluations. The contributions from this study are a model for sustainability management, a BI Framework to support strategic sustainability information management and a BI solution, Sustainable BI.
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Fogg, Jeth Al. "Cruise Ships Port Planning Factors." FIU Digital Commons, 2001. http://digitalcommons.fiu.edu/etd/3502.

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Rahman, Shahbaaz. "The Impact of Adopting “Business Intelligence (BI)” in Organizations." Thesis, Uppsala universitet, Informationssystem, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-153204.

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In economically turbulent times, Business Intelligence (BI) is increasingly being used to mitigate risk and increase certainty. The evolution of BI from a series of technologies to a platform for supporting strategies is analyzed in this thesis. The concentration is on how BI can streamline manufacturing, quality assurance, marketing and customer service are evaluated, as are the potential payoffs of increasing the level of insight an organization has. The thesis also includes analysis of how the more complex value chain processes including build-to-order, configure-to-order and quote-to-order can be made more efficient and profitable through the inclusion of BI and its associated analytics and technologies. The inclusion of the Delphi research technique makes this paper unique and strong in its content as well. The role of BI has shifted from being used in specific functional areas of an organization to being strategic in scope. The intent of this thesis is to evaluate its contributions to the customer-facing processes that are the most complex and most challenging to sustain, making BI an indispensible platform for their successful execution on the base of theories and practical experience of the BI experts.
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Nawaz, Amir. "The Perceiced Impact of Business Intelligence Tools on Marketing Success." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-10849.

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Purpose:  The purpose of this study is to analyze the perceived impact of business intelligence tools on marketing success. Methodology:  This research has conducted based on a literature study in the field business intelligence and pharmaceutical industry marketing. Primary  data  has  been  used  in  this  thesis  to  evaluate  the information technology impact on the  market performance for pharmaceutical industries. The SPSS software package is used to analyze the employee responses and statistical technique. Regression analysis is used to check the impact of information technology on market performance. Findings: One hundred fifty questionnaires were given to the employees of 15 different pharmaceutical companies located in Pakistan. Among them, 104 were collected back and 100 questionnaires were considered valid and used for further analysis. After analyzing the data, it was evaluated that information technology has a significant impact on market performance in pharmaceutical industries. According to the stakeholders, strategic planning, organizational support, knowledge management and technological advancement have significant impact on the success of information technology for decision support systems. Research limitations/Implications: More research will be required on the theory presented in this thesis “The Perceived Impact of Business Intelligence Tools on Marketing Success”.
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Mosunich, Marissa Anne. "A Simulation Model for Decision Support in Business Continuity Planning." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1610.

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Enterprises with a global supply network are at risk of lost revenue as a result of disruptive disasters at supplier locations. Various strategies exist for addressing this risk, and a variety of types of research has been done regarding the identification, assessment and response to the risk of disruption in a supply chain network. This thesis establishes a decision model to support Business Continuity Planning at the first-tier supplier level. The decision model incorporates discrete-event simulation of supply chain networks (through Simio software), Monte Carlo simulation, and risk index optimization. After modeling disruption vulnerability in a supply chain network, costs of implementing all combinations of Business Continuity Plans are ranked and then tested in discrete-event simulation for further insight into inventory levels, unmet customer demand, production loss and related costs. A case study demonstrates the implementation of the decision support process and tests a historical set of data from a large manufacturing company. Discrete-event simulation modeling of loss is confirmed to be accurate. The relevance of the model concept is upheld and recommendations for future work are made.
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Serednia, A. G. "«OneBox» by WebProduction as a System of Business Automation." Thesis, Київський національний університет технологій та дизайну, 2017. https://er.knutd.edu.ua/handle/123456789/8385.

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Gavioli, Giulio. "Sales & Operations Planning in Bonfiglioli Riduttori." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Il Sales & Operations Planning (S&OP) è un processo aziendale che permette di legare su di un’unica piattaforma informatizzata i due ambiti che contraddistinguono un’azienda manifatturiera: le vendite e le operations. Il S&OP fa parte dei sistemi di corporate performance management, ovvero quei processi analitici e manageriali, supportati dalla tecnologia, che rendono possibile la definizione di obiettivi strategici, la misurazione delle prestazioni e la gestione delle azioni intraprese per il loro miglioramento. Un simile strumento è stato progettato e realizzato presso Bonfiglioli Riduttori, multinazionale italiana leader nella produzione di soluzioni utili all’automazione industriale e al movimento terra. Nella prima parte dell’elaborato si ripercorre quello che è stato lo sviluppo avuto dai dati negli ultimi anni e come essi possano supportare il processo decisionale. Viene inoltre introdotto il concetto di Business Intelligence e descritte le diverse possibili architetture di un data warehouse. Si esplica inoltre il modello multidimensionale dei dati. Successivamente, una volta introdotta la realtà Bonfiglioli e le motivazioni che hanno portato la società ad intraprendere un progetto di S&OP, vengono passate in rassegna tutte le fasi salienti del progetto, con particolare attenzione verso le tecniche informatiche e i processi gestionali adottati. Tra le fasi possiamo ricordare la modellazione del processo e degli elementi che lo contraddistinguono, la definizione dei KPI e l’alimentazione dei software Board e R mediante i dati presenti nel data warehouse aziendale. Nell’ultima parte vengono invece descritti i report creati per la supervisione e il miglioramento delle performance aziendali relative al processo, così come i benefici derivanti dalla piattaforma di Sales & Operations Planning implementata.
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Honzík, Martin. "Řízení výkonnosti procesů plánování ve společnosti LASSELSBERGER, s.r.o." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-114224.

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This Diploma thesis discusses planning processes in a company LASSELSBERGER, s.r.o. and is divided into two main parts -- theoretical and practical. The core of the theoretical part is to describe basic principles of Business Intelligence, explain rules of planning, budgeting and source defining and clarify principles of performance measuring. The main goal of the practical part is to define and describe planning processes of company LASSELSBERGER, s.r.o., determine connections to information system, find their weaknesses and suggest particular changes leading to their elimination. In conclusion the suggestions of changes are evaluated and there is a recommendation for their integration into the whole planning process. The goals of the thesis were achieved by research of specialized literature, study of corresponding documentation and cooperation with employees of the company. The thesis is contributing to the company by means of detecting weaknesses in planning process and therefore the company is able to reduce them in accordance to the recommendations at the end of this thesis.
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Books on the topic "Business intelligence Planning"

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Business analysis for business intelligence. Boca Raton, FL: CRC Press, 2012.

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J, McGonagle John, ed. Improved business planning using competitive intelligence. New York: Quorum Books, 1988.

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Strategic intelligence: Business intelligence, competitive intelligence, and knowledge management. Boca Raton, FL: Auerbach Publications, 2006.

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Microsoft business intelligence for dummies. Hoboken, NJ: Wiley Pub., 2010.

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Solberg, Søilen Klaus, ed. Market intelligence: Building strategic insight. [Frederiksberg, Denmark]: Copenhagen Business School Press, 2009.

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Dutka, Alan F. Competitive intelligence for the competitive edge. Lincolnwood, Ill: NTC Business Books, 1999.

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McGonagle, John J. Proactive Intelligence: The Successful Executive's Guide to Intelligence. London: Springer London, 2012.

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Effective strategy execution: Improving performance with business intelligence. Berlin: Springer Berlin, 2012.

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Caserio, Carlo, and Sara Trucco. Enterprise Resource Planning and Business Intelligence Systems for Information Quality. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77679-8.

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L, Blenkhorn David, and Fleisher Craig S, eds. Competitive intelligence and global business. Westport, CT: Praeger Publishers, 2005.

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Book chapters on the topic "Business intelligence Planning"

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Rong, Hucheng, and Jun Tang. "Support System of Intelligent 3D Urban Planning Based on GIS Technology." In Information and Business Intelligence, 700–706. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29084-8_108.

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Zhang, Jian. "Several Problems in the Course of Urbanization in China and Planning Responses." In Information and Business Intelligence, 494–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29087-9_76.

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Chen, Rong-Chang, Chien-Ting Chen, and Jyun-Yang Li. "A Genetic Algorithm for Planning Travel Route with Mimimum Transportation Carbon Footprint." In Information and Business Intelligence, 57–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29087-9_9.

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Haider, Syed Arslan, and Shehnaz Tehseen. "Role of Decision Intelligence in Strategic Business Planning." In Decision Intelligence Analytics and the Implementation of Strategic Business Management, 125–33. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-82763-2_11.

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Qing, Ji. "An Intelligent Software to Provide Phased Sound-Planning Services for Real Construction Projects." In Information and Business Intelligence, 720–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29084-8_111.

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Kamariotou, Maria, and Fotis Kitsios. "Information Systems Planning Research and Strategy as Practice: Toward a Theory-Driven Agenda." In Business Intelligence and Modelling, 403–8. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57065-1_41.

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Nasiopoulos, Dimitrios Κ., Panagiotis Reklitis, and Despina S. Giakomidou. "Logistics Companies Reengineering. Change of Leadership and Human Resources Planning Through Management Information Systems." In Business Intelligence and Modelling, 207–17. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57065-1_22.

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Selmi, Mohamed Haythem, Zied Jemai, Laurent Gregoire, and Yves Dallery. "Integrated Business Planning Process: Link Between Supply Chain Planning and Financial Planning." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 149–58. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85906-0_17.

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Gallo, Paolo, Rosa Massa-Rolandino, Franco Canepa, and Francesco Borazzo. "A Knowledge Based Approach to Business Planning." In Expert Systems and Artificial Intelligence in Decision Support Systems, 257–70. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3805-2_15.

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Zhao, Wei, Xuena Han, Hui Li, Zeming Li, and Xue Tan. "Application of Bloch Spherical Quantum Genetic Algorithm in Fire-Fighting Route Planning." In Business Intelligence and Information Technology, 441–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92632-8_41.

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Conference papers on the topic "Business intelligence Planning"

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Drabble, B. "Intelligent business planning." In IEE Colloquium on `Artificial Intelligence in Business Planning and Monitoring'. IEE, 1995. http://dx.doi.org/10.1049/ic:19950950.

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"Adapting Geospatial Business Intelligence for regional infrastructure planning." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.l18.wickramasuriya.

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Barr, M. "Archer: an intelligent agent for business monitoring." In IEE Colloquium on `Artificial Intelligence in Business Planning and Monitoring'. IEE, 1995. http://dx.doi.org/10.1049/ic:19950951.

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Domanjko, Žan, and Igor Perko. "Artificial Intelligence Effects on Inventory Planning of Sensitive Products." In Challenges in Economics and Business in the Post-COVID Times. University of Maribor Press, 2022. http://dx.doi.org/10.18690/um.epf.5.2022.42.

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Pharmaceutical companies invested heavily in research and development, nowadays their funds are mostly allocated in the supply chain management. Inventory forecasting using AI focuses on optimising supply chain processes and mitigating operational risks related to the treatment of sensitive products. The purpose of this research is to comprehensively examine the processes and important factors that influence the implementation of forecasting and optimising inventories. The objectives identify data sources, examine data information flows, review appropriate forecasting models and analyse inventory optimisation-related metrics that could be applied in manufacturing companies. In this paper, the authors review the latest literature in the areas of sales forecasting, inventory optimisation and related forecasting models and metrics, with special emphasis on AI models. The literature review includes publications of scientific research results as well as reports on the development results of the applied inventory optimisation solutions in the industry. The research results will be useful for conducting applied research in a selected company, addressing the complex issue of managing a supply chain, as well as the production and storage of perishable materials and products. Results will be useful in research aimed at improving the forecasting of the inventory of sensitive products and consequentially increasing business efficiency.
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Ratajczak, Piotr, Malgorzata Michaluszko, Dawid Polak, Leszek Koszalka, Iwona Pozniak-Koszalka, and Andrzej Kasprzak. "Hybrid Algorithm for Line Planning Problem." In 2013 International Symposium on Computational and Business Intelligence (ISCBI). IEEE, 2013. http://dx.doi.org/10.1109/iscbi.2013.42.

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Santos, Miguel, Emanuel Joao, Joao Canelas, Jorge Bernardino, and Isabel Pedrosa. "The Incorporation of Business Intelligence with Enterprise Resource Planning in SMEs." In 2021 16th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2021. http://dx.doi.org/10.23919/cisti52073.2021.9476341.

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Henne, Sophie, Vanessa Mehlin, Elena Schmid, and Sigurd Schacht. "The DIAS project – development of an intelligent digital assistant in higher education." In 4th International Conference. Business Meets Technology. València: Editorial Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/bmt2022.2022.15537.

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The following paper will introduce the DIAS project (Digital Intelligent Assistant for Studying and Teaching) hosted at the University of Applied Sciences Ansbach, Germany. In this research project, a digital study assistant based on conversational Artificial Intelligence will be developed. To meet the multi-faceted needs of students in their day-to-day studies, the assistant will have four components: communicator, for answering questions, for conversation, and for mentoring; a planner, for performing time management and course planning; a motivator, for actively managing learning success; and an analyzer, for providing the necessary information about the student's study progress.
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Frangou, A. J. "ESAS: creating a proactive business mindset through a case-based generic quality framework." In IEE Colloquium on `Artificial Intelligence in Business Planning and Monitoring'. IEE, 1995. http://dx.doi.org/10.1049/ic:19950952.

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Sun, Quan, and Hao Cao. "Personal Life-Cycle Financial Planning Decision Model." In 2009 International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2009. http://dx.doi.org/10.1109/bife.2009.130.

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Fraser, J. "Managing the dynamic environment." In IEE Colloquium on `Artificial Intelligence in Business Planning and Monitoring'. IEE, 1995. http://dx.doi.org/10.1049/ic:19950947.

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