Modeling of Information Processes in Analytical Activity

Volodymyr Varenko
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Abstract

The aim of the article is to highlight the role of modeling in information processes from the point of view of revealing latent (hidden) information, and its impact on effective decision-making in analytics. Research methods. The methodology of the study was based on general scientific principles of systematicity, complexity, comprehensiveness of knowledge, unity of theory and practice. The achievement of the set goal was facilitated by the use of general scientific methods (review and analytical method, analysis, synthesis, modeling, system approach, generalization), and special ones (bibliographic method, information diagnostics (express analysis)) at the theoretical and empirical levels of research. Scientific novelty of the study consists in systematization and generalization of certain knowledge (about models and modeling), and new knowledge (about disclosure by modeling latent information in analytics) in the aspect of the present and the prospects for its development within one research. Main conclusions. In accordance with the main approach in information and analytical activity, the conceptual models construction of information objects, processes and phenomena allows to quickly and systematically reveal latent information about hidden ideas, meanings, external and internal factors influencing the situation, tendencies, patterns of the situation development, cause-and-effect relationships, aims of subjects’ actions, risks, threats, problems, connections (dependencies), power centers, spheres of their interests and other factors that are too important in the process of making balanced and effective decisions. For an analyst/expert, a simplified model of some certain information process (problem) is primarily an ideal option for cognition, saving efforts and resources (mainly, time), as well as a safeguard against making biased conclusions and erroneous (ineffective) offers and recommendations to decision-makers. It was emphasized that the existing extensive species diversity of information models allows the analyst/expert to effectively apply them at any stage of research. A special place in the design of business processes rightfully belongs to modeling. Therefore, modeling of information processes is a universal technique in the analyst’s activity, and a powerful means of achieving efficiency in any practice.
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分析活动中的信息过程建模
本文的目的是从揭示潜在(隐藏)信息的角度强调建模在信息过程中的作用,以及它对分析中有效决策的影响。研究方法。研究方法论遵循系统性、复杂性、知识综合性、理论与实践相统一的一般科学原则。在理论和实证研究层面使用了一般科学方法(综述和分析方法、分析、综合、建模、系统方法、概括)和特殊方法(书目方法、信息诊断(表达分析)),促进了既定目标的实现。该研究的科学新颖性在于对某些知识(关于模型和建模)和新知识(关于通过建模分析中的潜在信息进行披露)的系统化和概括,以及在一项研究中的发展前景。主要结论。根据信息和分析活动的主要方法,信息对象、过程和现象的概念模型构建可以快速、系统地揭示关于隐藏的想法、含义、影响局势的外部和内部因素、趋势、局势发展模式、因果关系的潜在信息,主体行动的目标、风险、威胁、问题、联系(依赖)、权力中心、利益范围以及在做出平衡有效决策过程中过于重要的其他因素。对于分析师/专家来说,某些信息过程(问题)的简化模型主要是一种理想的认知选择,可以节省精力和资源(主要是时间),也可以防止得出有偏见的结论以及向决策者提供错误(无效)的建议。有人强调,现有广泛的物种多样性信息模型使分析员/专家能够在任何研究阶段有效地应用这些模型。业务流程设计中的一个特殊位置理所当然地属于建模。因此,信息过程建模是分析师活动中的一项通用技术,也是在任何实践中实现效率的强大手段。
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发文量
15
审稿时长
4 weeks
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