Academic literature on the topic 'Support information and analytical'

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Journal articles on the topic "Support information and analytical"

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Divueva, Nataliya Aleksandrovna. "Information Approach to Managing the Expert and Analytical Support for Selecting Innovation Projects." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 952–61. http://dx.doi.org/10.5373/jardcs/v12sp7/20202188.

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Krasnyuk, Ivan, and Natalya Demina. "Information and analytical support for pharmaceutical production." Farmacevticheskoe delo i tehnologija lekarstv (Pharmacy and Pharmaceutical Technology), no. 1 (February 1, 2020): 43–48. http://dx.doi.org/10.33920/med-13-2001-04.

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Operation of modern pharmaceutical enterprise is impossible without information and analytical support providing prompt access to information, its analysis and the use of data for the functioning of enterprise. Structure of pharmaceutical enterprise includes divisions, which are often remote from each other. Centralized administration of their concerted activities, day-to-day communication, information transfer are important objectives of production meeting the requirements of international standards. Today, these issues are solved with the help of information technology providing collection and analysis of information necessary for sound management decisions and implemented on the basis of modern computer technology and modern means of communication.
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Stroh, Florian, Robert Winter, and Felix Wortmann. "Method Support of Information Requirements Analysis for Analytical Information Systems." Business & Information Systems Engineering 3, no. 1 (January 4, 2011): 33–43. http://dx.doi.org/10.1007/s12599-010-0138-0.

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Gushul, Yu V., and E. V. Teslya. "Information and analytical support: Current goals and pathways." Scientific and Technical Libraries, no. 1 (January 25, 2020): 24–44. http://dx.doi.org/10.33186/1027-3689-2020-1-24-44.

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User information support is among the functions of academic libraries. The authors attempt to reveal the potential of this activity vector. They characterize in brief the academic libraries’ performance in the external environment, reveal the changes in digital environment and social demands due to advancing IT: using Open Access, Semantic Web, Big Data and Data Analytics technologies in handling science data, the most recent phenomenon of Data Science, etc. The authors argue that the origins of further transformations will be the migration of communications, including scientific ones, toward the cyberspace, preferential generation and use of e-documents, supercomputer technologies, cloud computing, end-to-end technologies, multimodal interaction, science IT-services, etc. These transformations have been changing primarily the academic library users – who are high-end professionals with increasingly complex and unique information needs which the libraries are supposed to satisfy. This purpose can be fulfilled through prompt knowledge update, processing enormous flows of fast-aging information, delivery of resulting knowledge, comparative analytical data, range of solutions, etc. The current trends in the information support in academic libraries are discussed based on the information tail content analysis and observations: support of grant management, support of expert examination of academic papers, generation of analytical bibliographies, and organization of scientific communications, researchers, papers and ideas promotion in the global information space. In the professional literature, the information needs to determine the user services vectors for scientific libraries and their bibliographers are revealed, namely, IT-services support, virtual learning laboratory, e-science, knowledge and learning commons, library involvement in scientific data curation, expert analysis of generated information and preliminary quality appraisal, recommending publications and publishers to researchers, related administration and mediation, visual analytics, etc. The primary role of bibliographers in the libraries of the future is emphasized.
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Onykiy, Boris, Alexey Artamonov, Anastasia Ananieva, Evheniy Tretyakov, Larisa Pronicheva, Kristina Ionkina, and Alyona Suslina. "Agent Technologies for Polythematic Organizations Information-Analytical Support." Procedia Computer Science 88 (2016): 336–40. http://dx.doi.org/10.1016/j.procs.2016.07.445.

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Позднякова, A. Pozdnyakova, Ерыгина, L. Erygina, Федоренко, and Ilya Fedorenko. "Information and Analytical Support of Small Innovative Enterprises." Auditor 2, no. 12 (December 25, 2016): 37–44. http://dx.doi.org/10.12737/23599.

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The article analyzes the approaches of diff erent authors to the accounting and analytical support, determines place and the basic functions of accounting and analytical support in the management of the organization. The proposals for the formation of the accounting content and analytical support of small innovative enterprises are presented, allowing at any stage of the innovation process to obtain the necessary information on the costs of innovat ive products for the enterprise, as well as on the sources of funding through which it carried out production.
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Belova, Iryna, and Iryna Mushenyk. "INFORMATION AND ANALYTICAL SUPPORT OF LOGISTICS MARKET RESEARCH." Institute of accounting, control and analysis in the globalization circumstances, no. 1-2 (June 4, 2021): 7–23. http://dx.doi.org/10.35774/ibo2021.01-02.007.

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Introduction. Logistics as a type of economic activity plays one of the main roles in the formation and development of market relations, so its study is especially relevant in a market economy. Information resources are one of the most important subsystems of the resource potential of the firm, and information is a key element of logistics operations. The information specifies the needs of the objects of logistics systems and supply chain links. The article investigates that logistics is one of the important components of the state economy and now this component is at the stage of its formation and requires a scientific approach to study; the place of the information and analytical center as an infrastructural component of logistics systems is determined; the information and analytical support of the market research of logistics services is substantiated and the system of statistical indicators of the research of this market is formed. It is determined that the prospects for the development of the logistics services market in Ukraine directly depend on the state of the country's economy. Methods. The following scientific methods were used in the research process: inductions and deductions - in the process of studying the general tendencies of logistics development in Ukraine; analysis and synthesis - during the theoretical generalizations, the formation of appropriate conclusions; bibliographic - research of literary sources to obtain the necessary information on the research topic; method of associations and analogies - for the proposed new ideas and suggestions that arise from comparison with other more or less similar objects. Results. Logistics in Ukraine is developing in accordance with world trends, has a significant impact on the economic potential of the country, stimulates the development of related, interconnected and complementary industries, is a reflection of the competitiveness of our country in the world. Logistics efficiency is now at the forefront of the agenda for professionals, private firms, and international organizations. Thus, the logistics of information flow is relevant in the field of logistics. Information resources are one of the most important subsystems of the resource potential of the firm, and information is a key element of logistics operations. The current level of logistics development requires constant improvement and introduction of new information systems. Discussion. The main task set during the writing of the article is to substantiate the feasibility of using logistics services in Ukraine, taking into account the peculiarities of business globalization. Keywords: logistics, segment, logistics market, data sources, information and analytical support, logistics services market, statistical indicator.
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Lavrik, Olga L., Mariya A. Pleshakova, and Tatyana A. Kalyuzhnaya. "INFORMATION AND ANALYTICAL PRODUCTS IN RESEARCH LIBRARIES FOR INFORMATION RESEARCH SUPPORT." Vestnik Tomskogo gosudarstvennogo universiteta. Kul'turologiya i iskusstvovedenie, no. 32 (December 1, 2018): 186–201. http://dx.doi.org/10.17223/22220836/32/19.

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Kravchuk, V. V. "Improving Information Support of Research, Technical, and Innovation Development of Khmelnytskyi Oblast Economy Through Creation of Corporate Information and Analytical System." Science and innovation 10, no. 1 (January 30, 2014): 57–62. http://dx.doi.org/10.15407/scine10.01.057.

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Agayev, F. B. "Analytical support of the procedural decision-making process." Mathematical machines and systems 4 (2020): 20–32. http://dx.doi.org/10.34121/1028-9763-2020-4-20-32.

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In the process of legal research, private scientific methods are developed and used to study legal reality, such as the method of comparative jurisprudence, the method of interpretation (explanation) and the formal legal method. However, at the present stage of legal research, it is impossible to be limited only by these methods. Even legal scholars who consistently defend the status of dogmatic jurisprudence recognize that the application of these methods, with all their merits, sets a limiting framework in un-derstanding the practical action of positive law and the originality of its theoretical vision. Nevertheless, the application of these methods in the study of legal reality allows us to draw a conclusion about the general trends in the development of evaluative concepts that are fundamental in civil procedural law. It is offered an approach to the formation of a system of information support of procedural decision-making based on the application of fuzzy inference mechanism implemented in the logical basis of the feedforward multilayer neural network. Under this approach, a method to overcome the semantic uncer-tainty in the evaluation terms of procedural law is developed by using appropriate terms (fuzzy sets) of corresponding linguistic variables. As an example it is selected the Articles on “Violation of copyright or neighboring rights” of the Criminal Code of the Azerbaijan Republic based on which has been proposed formalism for the evaluation concept of “significant harm” in relation to the sanction applied. For mak-ing an adequate to evaluation concept notion it is proposed grading scale of possible sanctions, obtained on the basis of the description of the relevant legal norms in terms of fuzzy implicative rules.
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Dissertations / Theses on the topic "Support information and analytical"

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Ovsyuk, Nina Vasylivna, and Lyudmyla Oleksandrivna Galushko. "Accounting and analytical support of enterprise management." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/53925.

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1. Bezrodna T.M. Accounting and analytical support of enterprise management: defining the essence of the concept. Bulletin of the East Ukrainian National un-tu them. V. Dahl. 2008. № 10 (128). Part 2. URL: http://www.nbuv.gov.ua/portal-/Soc_Gum/VSUNU/2008_10_2/ bezrodna.pdf. 2. Volskaya V.V. Methodical approaches to accounting and analytical support and audit of management activities of agricultural enterprises. Problems of theory and methodology of accounting, control and analysis. 2012. № 3 (24). Pp. 83–88. 3. Golyachuk N.V. Accounting and analytical support as an important component of enterprise management. Coll. Science. works of Ternopil National economy. University "Economic Analysis". 2010. Vol. 6. pp. 408-410.
Substantiation of theoretical provisions for accounting and analytical support of enterprise management and identification of the basic principles of construction of accounting and analytical information system.
Обґрунтування теоретичних положень обліково-аналітичного забезпечення управління підприємством та визначення основних принципів побудови обліково-аналітичної інформаційної системи.
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Agashe, Aditya Vidyanand. "Towards Support of Visual Analytics for Synthetic Information." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/56565.

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This thesis describes a scalable system for visualizing and exploring global synthetic populations. The implementation described in this thesis addresses the following existing limitations of the Syn- thetic Information Viewer (SIV): (i) it adds ability to support synthetic populations for the entire globe by resolving data inconsistencies, (ii) introduces opportunities to explore and find patterns in the data, and (iii) allows the addition of new synthetic population centers with minimal effort. We propose the following extensions to the system: (i) Data Registry: an abstraction layer for handling heterogeneity of data across countries, and adding new population centers for visualizations, and (ii) Visual Query Interface: for exploring and analyzing patterns to gain insights. With these additions, our system is capable of visual exploration and querying of heterogeneous, temporal, spatial and social data for 14 countries with a total population of 830 million. Work in this thesis takes a step towards providing visual analytics capability for synthetic information. This system will assist urban planners, public health analysts, and, any individuals interested in socially-coupled systems, by empowering them to make informed decisions through exploration of synthetic information.
Master of Science
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Tocci, Gabriel. "A Comparison of Leading Database Storage Engines in Support of Online Analytical Processing in an Open Source Environment." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etd/1111.

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Online Analytical Processing (OLAP) has become the de facto data analysis technology used in modern decision support systems. It has experienced tremendous growth, and is among the top priorities for enterprises. Open source systems have become an effective alternative to proprietary systems in terms of cost and function. The purpose of the study was to investigate the performance of two leading database storage engines in an open source OLAP environment. Despite recent upgrades in performance features for the InnoDB database engine, the MyISAM database engine is shown to outperform the InnoDB database engine under a standard benchmark. This result was demonstrated in tests that included concurrent user sessions as well as asynchronous user sessions using data sets ranging from 6GB to 12GB. Although MyISAM outperformed InnoDB in all test performed, InnoDB provides ACID compliant transaction technologies are beneficial in a hybrid OLAP/OLTP system.
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Akpakpan, Nsikak Etim. "Analytic Extensions to the Data Model for Management Analytics and Decision Support in the Big Data Environment." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5538.

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From 2006 to 2016, an estimated average of 50% of big data analytics and decision support projects failed to deliver acceptable and actionable outputs to business users. The resulting management inefficiency came with high cost, and wasted investments estimated at $2.7 trillion in 2016 for companies in the United States. The purpose of this quantitative descriptive study was to examine the data model of a typical data analytics project in a big data environment for opportunities to improve the information created for management problem-solving. The research questions focused on finding artifacts within enterprise data to model key business scenarios for management action. The foundations of the study were information and decision sciences theories, especially information entropy and high-dimensional utility theories. The design-based research in a nonexperimental format was used to examine the data model for the functional forms that mapped the available data to the conceptual formulation of the management problem by combining ontology learning, data engineering, and analytic formulation methodologies. Semantic, symbolic, and dimensional extensions emerged as key functional forms of analytic extension of the data model. The data-modeling approach was applied to 15-terabyte secondary data set from a multinational medical product distribution company with profit growth problem. The extended data model simplified the composition of acceptable analytic insights, the derivation of business solutions, and the design of programs to address the ill-defined management problem. The implication for positive social change was the potential for overall improvement in management efficiency and increasing participation in advocacy and sponsorship of social initiatives.
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Wilson, Max L. "An analytical inspection framework for evaluating the search tactics and user profiles supported by information seeking interfaces." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/69727/.

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Searching is something we do everyday both in digital and physical environments. Whether we are searching for books in a library or information on the web, search is becoming increasingly important. For many years, however, the standard for search in software has been to provide a keyword search box that has, over time, been embellished with query suggestions, Boolean operators, and interactive feedback. More recent research has focused on designing search interfaces that better support exploration and learning. Consequently, the aim of this research has been to develop a framework that can reveal to designers how well their search interfaces support different styles of searching behaviour. The primary contribution of this research has been to develop a usability evaluation method, in the form of a lightweight analytical inspection framework, that can assess both search designs and fully implemented systems. The framework, called Sii, provides three types of analyses: 1) an analysis of the amount of support the different features of a design provide; 2) an analysis of the amount of support provided for 32 known search tactics; and 3) an analysis of the amount of support provided for 16 different searcher profiles, such as those who are finding, browsing, exploring, and learning. The design of the framework was validated by six independent judges, and the results were positively correlated against the results of empirical user studies. Further, early investigations showed that Sii has a learning curve that begins at around one and a half hours, and, when using identical analysis results, different evaluators produce similar design revisions. For Search experts, building interfaces for their systems, Sii provides a Human-Computer Interaction evaluation method that addresses searcher needs rather than system optimisation. For Human-Computer Interaction experts, designing novel interfaces that provide search functions, Sii provides the opportunity to assess designs using the knowledge and theories generated by the Information Seeking community. While the research reported here is under controlled environments, future work is planned that will investigate the use of Sii by independent practitioners on their own projects.
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Скворчевський, Олександр Євгенович, and Христина Михайлівна Віленська. "Інформаційно-аналітичне забезпечення інноваційного проекту на машинобудівному підприємстві." Thesis, НТУ "ХПІ", 2014. http://repository.kpi.kharkov.ua/handle/KhPI-Press/28259.

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Колеснікова, Марія Вікторівна, Мария Викторовна Колесникова, Mariia Viktorivna Kolesnikova, and К. І. Губа. "Адміністративно-правові засади здійснення інформаційно-аналітичного забезпечення Національної поліції в період реформування." Thesis, Класичний приватний університет, 2018. http://essuir.sumdu.edu.ua/handle/123456789/72333.

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Інформація, її одержання, аналіз, синтез складають основу людської діяльності. Діяльність працівників поліції також пов’язана з величезними об’ємами інформації, яка в багатьох випадках є оперативною, службовою, таємною і навіть становить державну таємницю. Тому в контексті цього, інформаційноаналітичне забезпечення діяльності органів Національної поліції України нерозривно пов’язано з інформаційною безпекою держави загалом.
Информация, ее получение, анализ, синтез составляют основу человеческой деятельности. Деятельность сотрудников полиции также связана с огромными объемами информации, которая во многих случаях является оперативной, служебной, тайной и даже составляет государственную тайну. Поэтому в контексте этого информацийно аналитичне обеспечения деятельности органов Национальной полиции Украины неразрывно связано с информационной безопасностью государства в целом.
Information, its reception, analysis, synthesis form the basis of human activity. The activities of police officers are also associated with huge amounts of information, which in many cases is operational, service, secret and even state secrets. Therefore, in the context of this, informational and analytical support of the activities of the National Police of Ukraine is inextricably linked with the information security of the state as a whole.
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Uys, J. W. "A framework for exploiting electronic documentation in support of innovation processes." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/1449.

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Thesis (PhD (Industrial Engineering))--University of Stellenbosch, 2010.
ENGLISH ABSTRACT: The crucial role of innovation in creating sustainable competitive advantage is widely recognised in industry today. Likewise, the importance of having the required information accessible to the right employees at the right time is well-appreciated. More specifically, the dependency of effective, efficient innovation processes on the availability of information has been pointed out in literature. A great challenge is countering the effects of the information overload phenomenon in organisations in order for employees to find the information appropriate to their needs without having to wade through excessively large quantities of information to do so. The initial stages of the innovation process, which are characterised by free association, semi-formal activities, conceptualisation, and experimentation, have already been identified as a key focus area for improving the effectiveness of the entire innovation process. The dependency on information during these early stages of the innovation process is especially high. Any organisation requires a strategy for innovation, a number of well-defined, implemented processes and measures to be able to innovate in an effective and efficient manner and to drive its innovation endeavours. In addition, the organisation requires certain enablers to support its innovation efforts which include certain core competencies, technologies and knowledge. Most importantly for this research, enablers are required to more effectively manage and utilise innovation-related information. Information residing inside and outside the boundaries of the organisation is required to feed the innovation process. The specific sources of such information are numerous. Such information may further be structured or unstructured in nature. However, an ever-increasing ratio of available innovation-related information is of the unstructured type. Examples include the textual content of reports, books, e-mail messages and web pages. This research explores the innovation landscape and typical sources of innovation-related information. In addition, it explores the landscape of text analytical approaches and techniques in search of ways to more effectively and efficiently deal with unstructured, textual information. A framework that can be used to provide a unified, dynamic view of an organisation‟s innovation-related information, both structured and unstructured, is presented. Once implemented, this framework will constitute an innovation-focused knowledge base that will organise and make accessible such innovation-related information to the stakeholders of the innovation process. Two novel, complementary text analytical techniques, Latent Dirichlet Allocation and the Concept-Topic Model, were identified for application with the framework. The potential value of these techniques as part of the information systems that would embody the framework is illustrated. The resulting knowledge base would cause a quantum leap in the accessibility of information and may significantly improve the way innovation is done and managed in the target organisation.
AFRIKAANSE OPSOMMING: Die belangrikheid van innovasie vir die daarstel van „n volhoubare mededingende voordeel word tans wyd erken in baie sektore van die bedryf. Ook die belangrikheid van die toeganklikmaking van relevante inligting aan werknemers op die geskikte tyd, word vandag terdeë besef. Die afhanklikheid van effektiewe, doeltreffende innovasieprosesse op die beskikbaarheid van inligting word deurlopend beklemtoon in die navorsingsliteratuur. „n Groot uitdaging tans is om die oorsake en impak van die inligtingsoorvloedverskynsel in ondernemings te bestry ten einde werknemers in staat te stel om inligting te vind wat voldoen aan hul behoeftes sonder om in die proses deur oormatige groot hoeveelhede inligting te sif. Die aanvanklike stappe van die innovasieproses, gekenmerk deur vrye assosiasie, semi-formele aktiwiteite, konseptualisering en eksperimentasie, is reeds geïdentifiseer as sleutelareas vir die verbetering van die effektiwiteit van die innovasieproses in sy geheel. Die afhanklikheid van hierdie deel van die innovasieproses op inligting is besonder hoog. Om op „n doeltreffende en optimale wyse te innoveer, benodig elke onderneming „n strategie vir innovasie sowel as „n aantal goed gedefinieerde, ontplooide prosesse en metingskriteria om die innovasieaktiwiteite van die onderneming te dryf. Bykomend benodig ondernemings sekere innovasie-ondersteuningsmeganismes wat bepaalde sleutelaanlegde, -tegnologiëe en kennis insluit. Kern tot hierdie navorsing, benodig organisasies ook ondersteuningsmeganismes om hul in staat te stel om meer doeltreffend innovasie-verwante inligting te bestuur en te gebruik. Inligting, gehuisves beide binne en buite die grense van die onderneming, word benodig om die innovasieproses te voer. Die bronne van sulke inligting is veeltallig en hierdie inligting mag gestruktureerd of ongestruktureerd van aard wees. „n Toenemende persentasie van innovasieverwante inligting is egter van die ongestruktureerde tipe, byvoorbeeld die inligting vervat in die tekstuele inhoud van verslae, boeke, e-posboodskappe en webbladsye. In hierdie navorsing word die innovasielandskap asook tipiese bronne van innovasie-verwante inligting verken. Verder word die landskap van teksanalitiese benaderings en -tegnieke ondersoek ten einde maniere te vind om meer doeltreffend en optimaal met ongestruktureerde, tekstuele inligting om te gaan. „n Raamwerk wat aangewend kan word om „n verenigde, dinamiese voorstelling van „n onderneming se innovasieverwante inligting, beide gestruktureerd en ongestruktureerd, te skep word voorgestel. Na afloop van implementasie sal hierdie raamwerk die innovasieverwante inligting van die onderneming organiseer en meer toeganklik maak vir die deelnemers van die innovasieproses. Daar word verslag gelewer oor die aanwending van twee nuwerwetse, komplementêre teksanalitiese tegnieke tot aanvulling van die raamwerk. Voorts word die potensiele waarde van hierdie tegnieke as deel van die inligtingstelsels wat die raamwerk realiseer, verder uitgewys en geillustreer.
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Torres, Russell. "Organizational Competency Through Information: Business Intelligence and Analytics as a Tool for Process Dynamization." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804918/.

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The data produced and collected by organizations represents both challenges and opportunities for the modern firm. Business intelligence and analytics (BI&A) comprises a wide variety of information management technologies and information seeking activities designed to exploit these information resources. As a result, BI&A has been heralded as a source of improved organizational outcomes in both the academic and practitioner literature, and these technologies are among the largest continuous IT expenditures made over the last decade.Despite the interest in BI&A, there is not enough theorizing about its role in improving firm performance. Scholarly investigations of the link between BI&A and organizational benefits are scarce and primarily exploratory in nature. Further, the majority of the extant research on BI&A is techno-centric, conceptualizing BI&A primarily an organizational technical asset. This study seeks to explicate the relationship between BI&A and improved organizational outcomes by viewing this phenomenon through the lens of dynamic capabilities, a promising theoretical perspective from the strategic management discipline. In so doing, this research reframes BI&A as an organizational capability, rather than simply a technical resource. Guided by a comprehensive review of the BI&A and dynamic capabilities literature, as well as a series of semi-structured focus groups with senior-level business practitioners with BI&A experience, this study develops and tests a model of BI&A enabled firm performance. Using a snowball sample, an online survey was administered to 137 business professionals in 24 industries. The data were analyzed using partial least squares (PLS) structural equation modeling (SEM). The findings support the contention that BI&A serve as the sensing and seizing components of an organizational dynamic capability, while transformation is achieved through business process change capability. These factors influence firm financial performance through their impact on the functional performance of the firm’s business processes. Further, this study demonstrates that traditional BI&A success factors are positively associated with BI&A sensing capability. This study makes several important contributions to BI&A research. First, this study addresses a gap in the scholarly literature by establishing a theoretical framework for the role of BI&A in achieving firm performance which is grounded in an established strategic management theory. Second, by drawing on the sense-seize-transform view of dynamic capabilities, this dissertation proposes a new conceptualization of BI&A as sensing and seizing organizational capabilities. Third, this research links the use of BI&A to improved organizational outcomes through the transformation of business processes, consistent with the view that the value of IT is derived from its impact on the value generating processes of the firm. Fourth, by viewing BI&A and business process change as distinct but inter-related components of dynamic capabilities, this research clarifies the role of BI&A in the dynamization of organizational processes, providing insight into the relationship between BI&A and business agility. Finally, this dissertation shows how BI&A capabilities are related to BI&A success factors identified in prior research.
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Naghdipour, Navid Naghdipour. "New Trends in Business Intelligence : A case study on the impact of organizational demands of information and new technologies on BI." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Informatik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-25148.

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When the data warehouse concept was first introduced by IBM as a part of their new information system in 1988, the first step in the field of modern decision support systems or business intelligence was taken. Since then, academics, practitioners and solution developers have put a considerable effort in introducing new trends of these systems. Each new trend has roots in what enterprises demand from these systems. The advances in Web technologies and social media, has led to introduction of new trends such as Cloud BI and Big Data which are both cost-effective and also have the potential to take advantage of semi-structured and unstructured data within organizations. This paper deals with these new trends and the influences of organizational demands and new technologies and tools on them. A deep literature review deals with four major BI trends in detail. (Data warehouse, Business Performance Management (BPM), Cloud BI and Big Data). Two case studies from local Business intelligence developers are carried out in order to explore the influences mentioned above. As the result of this study, a model is proposed that addresses the elements that affect the BI trends, both in organizational and technological perspectives. It is observed that despite the fact that lots of new trends have been introduced in the past years (e.g. Cloud BI and Big Data), it does not necessarily mean that older trends are becoming obsolete. Data warehouses and BPM systems are still being used vastly in the industry. However, the later trends can be offered to clients that have the demand for them. The results imply that Cloud BI is mainly suitable for companies with low initial budgets and Big Data can be adopted by organizations that want to exploit their social data sources. The mere fact that both implied trends are built upon their preceding ones, has transformed data warehouses and BPM approach the ground work for any new trends to come.
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Books on the topic "Support information and analytical"

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Mishenin, Sergey. Information and analytical work. ru: INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/987953.

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In the textbook the basic concepts concerning the organization and technology of information work of the student-historian are considered. It includes four sections: the first determines the place of the course's problems in the process of historical knowledge; the second tracks the principal features of facts, sources and research, which can potentially be the sphere of historical research; the third introduces the reader to the principles, conceptual apparatus, laws, methods and judgments as means of knowledge.; the fourth introduces the experience of constructing the text of the study, which sums up a certain result of the work done and allows you to " translate the process of learning a new state of relative knowledge." Meets the requirements of the Federal state educational standards of higher education of the last generation. It is intended for undergraduate students studying the discipline "Information and analytical work". It can be useful to persons preparing for admission to the master's degree in the areas of training "History" and "International relations", as well as all those interested in working with documents and other media.
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Tregub, Ilona, and Tat'yana Goroshnikova. A simulation model of decision-making. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1030572.

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A tutorial on the basics of simulation modelling in problems of managerial decision-making, illustrated by numerous practical examples. Contains material contributing to the deepening of theoretical knowledge and practical skills of the student in the application of computer simulation modeling of economic, social and technological systems for the formation, adoption and implementation of managerial decisions. Meets the requirements of Federal state educational standards of higher education of the last generation. Intended for graduate students in the study of disciplines "Mathematical and instrumental methods of decision support" (area of training 09.04.03 Applied Informatics, master's program "Applied information science in analytical Economics") and "simulation modeling of economic and information systems (advanced course)" (specialty 01.04.02 - "Applied mathematics and computer science", master program "Quantitative methods in Finance and Economics"). Will be useful to undergraduate students as well as middle managers and senior managers to understand the methods of computer modeling in support of decision making and developing them on the basis of sound management decisions.
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Eckschlager, Karel. Information theory in analytical chemistry. New York: Wiley, 1994.

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Eckschlager, K. Information theory in analytical chemistry. New York: Wiley, 1994.

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O'Connor, John T. Analytical data-management systems. [Denver, CO]: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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T, O'Connor John. Analytical data-management systems. [Denver, CO]: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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T, O'Connor John. Analytical data-management systems. [Denver, CO]: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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T, O'Connor John. Analytical data-management systems. [Denver, CO]: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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Wijers, Gerardus Maria. Modelling support in information systems development. Amsterdam, Netherlands: Thesis Publishers Amsterdam, 1991.

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Duncan, W. M. Decision support and executive information systems. London: University of London, External Advisory Service, 1994.

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Book chapters on the topic "Support information and analytical"

1

Kuehl, Niklas. "Needmining: Towards Analytical Support for Service Design." In Lecture Notes in Business Information Processing, 187–200. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32689-4_14.

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Naumova, O. A., and M. A. Tyugin. "Information and Analytical Support for Enterprise Business Management." In Current Achievements, Challenges and Digital Chances of Knowledge Based Economy, 295–303. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47458-4_35.

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Khabib, Marina D., Marina Y. Teplyakova, and Aigul K. Bekkhozhaeva. "Information Analytical Support of Analysis of Digital Economy Development." In Studies in Systems, Decision and Control, 299–308. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56433-9_32.

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Wrisberg, Nicoline, Helias A. Udo de Haes, Ursula Triebswetter, Peter Eder, and Roland Clift. "Supply of environmental information for decision support." In Analytical Tools for Environmental Design and Management in a Systems Perspective, 35–44. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0456-5_3.

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Berdyugin, V., and L. Dronova. "Information and Analytical Support for the Protection of Important Critical Information Infrastructure Objects." In Lecture Notes in Electrical Engineering, 953–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39225-3_102.

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Ayupov, Shavkat, and Abdulla Arifjanov. "Information–Analytical Technologies of Decision Support in Management of Power Systems." In Advances in Intelligent Systems and Computing, 827–39. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1837-4_69.

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Glushchenko, Alexandra V., Iraida Y. Isaeva, and Ekaterina P. Kucherova. "Sustainable Economic Growth of Integrated Agricultural Formations: Information and Analytical Support." In Contributions to Economics, 129–36. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60696-5_15.

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Sow, Daby M. "Big Data Analytical Technologies and Decision Support in Critical Care." In Health Informatics, 515–27. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-20765-0_30.

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Bossé, Éloi, and Michel Barès. "Relational Calculus to Support Analytics and Information Fusion." In Relational Calculus for Actionable Knowledge, 281–325. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92430-0_6.

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Cabrera-Loayza, Ma Carmen, Elizabeth Cadme, René Elizalde, and Nelson Piedra. "Learning Analytics as a Tool to Support Teaching." In Communications in Computer and Information Science, 415–25. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42531-9_33.

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Conference papers on the topic "Support information and analytical"

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Senchenko, Pavel V., Anatoly A. Sidorov, and Yury Ekhlakov. "Information and Analytical Support of Management Activities." In 2017 IEEE 11th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2017. http://dx.doi.org/10.1109/icaict.2017.8686847.

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Safonova, M., and A. Alekseenko. "Information and analytical support for internal audit of inventories." In Proceedings of the International Conference on Sustainable Development of Cross-Border Regions: Economic, Social and Security Challenges (ICSDCBR 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/icsdcbr-19.2019.11.

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Allwright, Alan, Dennis Perisa, and Peyam Pourbeik. "Analytical support for MANET internetworks from war game data." In 2007 International Symposium on Communications and Information Technologies. IEEE, 2007. http://dx.doi.org/10.1109/iscit.2007.4392130.

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Isaev, Dmitry. "Information support of corporate governance and strategic management using analytical software." In 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658550.

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Mikhaylova, Ekaterina, Sergey Mityagin, Olga Tikhonova, and Yuriy Zakharov. "Information and Analytical Support of the Authorities Using Semi-Structured Data." In ICEGOV '15-16: 9th International Conference on Theory and Practice of Electronic Governance. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2910019.2910023.

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Zdorovets, Iu I., O. V. Kitaeva, Yu A. Kitaev, and V. F. Uzhik. "Information and Analytical Support of Cost Control in Animal Feed Production." In Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200730.115.

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Larina, Tatiana, Nikolai Zavodchikov, Galina Petrova, and Vladimir Shakhov. "Information and analytical support of innovations in agricultural production: Russian experience." In Proceedings of the International Scientific and Practical Conference “Digital agriculture - development strategy” (ISPC 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/ispc-19.2019.42.

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Syed-Mohamad, Sharifah Mashita, Mohd Heikal Husin, and Wan Mohd Nazmee Wan Zainon. "Visualizing Test-Defect Coverage Information to Support Analytical Reasoning and Testing." In ICSCA '19: 2019 8th International Conference on Software and Computer Applications. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3316615.3316666.

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Mesyats, Svetlana. "INFORMATIONAL-ANALYTICAL DECISION-SUPPORT SYSTEM IN ECOLOGICAL RESTORATION." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/52/s20.071.

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Murad, Dina Fitria, Meta Amalya Dewi, Yuvita Dyah Ayu Novitasari, Aditya Soleh, and Hudaifi. "Decision Support System of Warehouse Allocation using Analytical Hierarchy Process Method." In International Conferences on Information System and Technology. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0009909302940298.

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Reports on the topic "Support information and analytical"

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Perdigão, Rui A. P. Information Physical Artificial Intelligence in Complex System Dynamics: Breaking Frontiers in Nonlinear Analytics, Model Design and Socio-Environmental Decision Support in a Coevolutionary World. Meteoceanics, September 2020. http://dx.doi.org/10.46337/200930.

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Bormolini, Barbara, Robert Klemmer, and Norm Trier. Analytical Support to Operation Joint Endeavor. Fort Belvoir, VA: Defense Technical Information Center, April 1996. http://dx.doi.org/10.21236/ada311802.

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Erwin, Ralph M. Geospatial Information in Support of Information Superiority. Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada400998.

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Eaton, John K., and Paul A. Durbin. Transonic Cascade Measurements to Support Analytical Modeling. Fort Belvoir, VA: Defense Technical Information Center, July 2008. http://dx.doi.org/10.21236/ada484614.

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Myers, M. L. Quality assurance management plan special analytical support. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/330747.

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Durbin, Paul A., John K. Eaton, Greg Laskowski, and Amanda Vicharelli. Transonic Cascade Measurements to Support Analytical Modeling. Fort Belvoir, VA: Defense Technical Information Center, May 2005. http://dx.doi.org/10.21236/ada435404.

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May, Harold D. Analytical Support for PCB Dechlorination in Marine Sediments. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada389525.

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LOCKREM, L. L. Quality assurance management plan (QAPP) special analytical support (SAS). Office of Scientific and Technical Information (OSTI), May 1999. http://dx.doi.org/10.2172/782374.

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McGovern, Greg, A. Infrastructure support for Clinical Information Systems. Office of Scientific and Technical Information (OSTI), June 2007. http://dx.doi.org/10.2172/908749.

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McCarthy, J., C. Morefield, V. Gawron, T. Swalm, and R. Davis. Information Management to Support the Warrior. Fort Belvoir, VA: Defense Technical Information Center, December 1998. http://dx.doi.org/10.21236/ada412936.

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