中小企业大数据分析成熟度模型

Matthew Willetts, Anthony S. Atkins
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引用次数: 0

摘要

中小企业是全球经济的支柱,占所有企业的 90%。尽管大企业广泛采用大数据,并报告了包括提高盈利能力和效率在内的众多好处,2017 年对 50 家财富 1000 强企业和领先企业高管的调查显示,48.4% 的受访者确认他们正在从大数据投资中取得可衡量的成果,80.7% 的受访者确认他们已经创造了业务。只有 10% 的中小企业采用了大数据分析技术。本文概述了大数据成熟度模型,并讨论了这些模型的积极特点和局限性。先前的研究分析了中小企业采用大数据分析的障碍,并开发了一个评分工具,以帮助中小企业采用大数据分析。本文表明,该评分工具可转化为成熟度模型并与之进行比较,以提供大数据分析成熟度的可视化表示,帮助中小企业了解其所处的阶段。论文概述了一个案例研究,通过比较来提供直观的可视化模型,帮助高层管理人员提高竞争优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Analytics Maturity Model for SMEs
Small and medium-sized enterprises (SMEs) are the backbone of the global economy, constituting 90% of all businesses. Despite being widely adopted by large businesses who have reported numerous benefits including increased profitability and increased efficiency and a survey in 2017 of 50 Fortune 1000 and leading firms’ executives indicated that 48.4% of respondents confirmed they are achieving measurable results from their Big Data investments, with 80.7% confirming that they have generated business. Big Data Analytics is adopted by only 10% of SMEs. The paper outlines a review of Big Data Maturity Models and discusses their positive features and limitations. Previous research has analysed the barriers to adoption of Big Data Analytics in SMEs and a scoring tool has been developed to help SMEs adopt Big Data Analytics. The paper demonstrates that the scoring tool could be translated and compared to a Maturity Model to provide a visual representation of Big Data Analytics maturity and help SMEs to understand where they are on the journey. The paper outlines a case study to show a comparison to provide intuitive visual model to assist top management to improve their competitive advantage.
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