拉脱维亚组织对高级分析的准备情况

Santa Lemsa
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引用次数: 0

摘要

高级分析是提供竞争优势、可持续发展和促进组织生产力的核心工具之一。数字化转型和高级分析是新兴数据、分析和自动化时代的两个关键趋势。数字化转型是在面临数字化颠覆时改变企业运营方式的过程。高级分析是应用预测和规范模型来分析大型、复杂的数据集,以做出关键的业务决策。本文的重点是评估拉脱维亚的地区,规模和行业的组织先进的分析的成熟度水平。评估是由几个领域完成的,比如组织、人员、数据、分析和技术。进行了定量在线调查,以评估拉脱维亚组织对高级分析的准备情况。该问卷是基于学术文献综述、研究人员、分析部门、行业专家和作者在高级分析行业的专业经验的报告和出版物而开发的。拉脱维亚各组织的总体准备水平为2.4分(满分5分)。它因地区、组织规模和行业而异。大多数组织没有分析策略,大多数使用基于电子表格的分析工具,一半的组织主要只使用内部数据,超过三分之一的组织没有任何分析资源。由此得出的结论是,拉脱维亚的大多数组织远远没有能力提高生产力,无法最大限度地发挥数字环境的潜力,无法利用数据做出数据驱动和自动化的决策,也远远没有把握21世纪的数字机遇。因此,将组织本身的可持续性置于危险之中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
READINESS OF LATVIA’S ORGANIZATIONS FOR ADVANCED ANALYTICS
The advanced analytics is one of the core tools to provide competitive advantage, sustainable development and foster productivity of the organization. Digital transformation and advanced analytics are two key trends in the emerging age of data, analytics, and automation. Digital transformation is the process of transforming how businesses operate when faced with digital disruption. Advanced analytics is the application of predictive and prescriptive models to analyse large, complex datasets in order to make critical business decisions. The focus of the paper is to assess the maturity level of advanced analytics in the organizations of Latvia by region, size and industry. Assessment was done by several domains like Organization, People, Data, Analytics, Technologies. The quantitative online survey was performed to assess the readiness of Latvia’s organizations for advanced analytics. The questionnaire was developed based on an academic literature review, reports and publications by researchers, analytical sector, industry experts and Author’s professionals experience in advanced analytics industry. The overall readiness level of Latvia’s organizations is 2.4 in 5 points scale. It differs by region, size of the organization and industry. Most of organizations do not have Analytics strategy, majority use spreadsheets based analytical tools, half of organizations use mostly only internal data, more than third part of organizations do not have any analytical resources. It leads to conclusion that majority of Latvia’s organizations are far from ability to improve productivity, be able to maximize the potential of the digital environment, to exploit data to make data-driven and automated decisions and are far from 21st century digital opportunities. Thus, puts under danger the sustainability of the organizations itself. 
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