SAP Analytics Cloud: intellectual analysis of small and medium-sized business activities in Russia in the context of COVID-19

D. Nazarov, D. Kovtun, T. Reichert
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引用次数: 1

Abstract

The global trend of transition to a digital economy is pushing the scientific community to thoroughly research intellectual analytics models since the quality of models directly affects the choice of an effective decision-making strategy. The article discusses the possibilities and technologies for constructing data mining models in the digital service SAP Analytics Cloud, based on open data on the registration of legal entities and individual entrepreneurs in the Russian Federation. The impact of government support measures on the business activity of small and medium-sized businesses in the context of the spread of COVID-19 is assessed. Predictive analytics models are being implemented in the SAP Analytics Cloud, which allows us to assess the future development trends of small and medium-sized businesses in Russia.
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SAP分析云:在2019冠状病毒病背景下对俄罗斯中小企业活动进行智能分析
全球向数字经济转型的趋势正在推动科学界深入研究智能分析模型,因为模型的质量直接影响到有效决策策略的选择。本文讨论了基于俄罗斯联邦法律实体和个体企业家注册的开放数据,在数字服务SAP分析云中构建数据挖掘模型的可能性和技术。评估新冠疫情背景下政府支持措施对中小企业经营活动的影响。SAP分析云正在实施预测分析模型,这使我们能够评估俄罗斯中小型企业的未来发展趋势。
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