Exploiting the potential of data science: the case of Scottish SMEs

挖掘数据科学的潜力：苏格兰中小企业的案例

• 批准号: 2763574
• 金额: --
• 依托单位: University of Stirling
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2763574
• 关键词: Exploiting; potential; data; science; case

Since the term Big Data was first coined in the late 1990's Data Science has become an integral part of modern business. Technological advances in data storage and processing have enabled the collection and manipulation of data for scientific and commercial purposes while expending only minimal resources. Indeed, open source software applications and ubiquitous processing power and networking (Provost and Fawcett 2013) has empowered the home programmer to perform complicated data analysis - once the domain only of large tech organisations.Commercial applications of big data analytics are realising benefits across industries in terms of increased revenue (Xu et al. 2016) process efficiencies and cost savings (Wang et al. 2018), and gaining a sustainable competitive advantage (Erevelles et al. 2016).However, it appears that this benefit is being realised mainly by larger organisations with 75% currently utilising data analytics, against 34% of all Scottish companies (Scottish Government 2017b). SMEs contribute significantly to Scottish private sector enterprises (99.3%), employment (54.9%) and turnover (41.5%) (Scottish Government 2018a), suggesting that significant economic benefit could be realised if this segment of the Scottish economy could exploit data analytics. For the Scottish economy to fully realise its potential, factors which influence a company's engagement with data science and what action is needed to increase the uptake among smaller Scottish companies must be identified. This research compliments work undertaken with a Scottish technology company which highlighted the negative perception among its clients of 'big data' and a reluctance to engage with data analytics. Building on literature by Coleman et al (2016), amongst others, highlighting the barriers facing European SMEs in realising the benefits of data analytics - barriers recognised by the Scottish Government (Scottish Government 2018b) - this study will contribute to the current knowledge of SMEs in Scotland, their characteristics and the barriers to data science engagement. This research will hold significance for Scottish SMEs seeking to increase profitability through data science, the Scottish Government in their efforts to increase engagement, and for the Scottish economy as the benefits of data science are realised and global demand for data-driven companies increases.

自20世纪90年代末首次提出大数据一词以来，数据科学已成为现代商业不可或缺的一部分。数据存储和处理方面的技术进步使得能够在仅花费最少资源的情况下为科学和商业目的收集和处理数据。的确，开源软件应用程序和无处不在的处理能力和网络（Provost and福塞特，2013年）使家庭程序员能够执行复杂的数据分析--这曾经是大型科技组织的专利。大数据分析的商业应用在增加收入方面为各行各业带来了好处（Xu等人，2016）流程效率和成本节约（Wang et al. 2018），并获得可持续的竞争优势（Erevelles et al. 2016）。然而，这一好处似乎主要是由大型组织实现的，目前75%的组织使用数据分析，占所有苏格兰公司的34%（苏格兰政府，2017 b）。中小企业为苏格兰私营企业（99.3%），就业（54.9%）和营业额（41.5%）做出了重大贡献（苏格兰政府，2018 a），这表明如果苏格兰经济的这一部分可以利用数据分析，可以实现重大的经济效益。为了使苏格兰经济充分发挥其潜力，必须确定影响公司参与数据科学的因素，以及需要采取哪些行动来提高苏格兰小型公司的吸收率。这项研究与一家苏格兰科技公司的工作相辅相成，该公司强调了其客户对“大数据”的负面看法，以及不愿参与数据分析。基于科尔曼等人（2016年）的文献，其中强调了欧洲中小企业在实现数据分析的好处方面面临的障碍-苏格兰政府（苏格兰政府2018 b）承认的障碍-这项研究将有助于苏格兰中小企业的现有知识，他们的特点和数据科学参与的障碍。这项研究将对寻求通过数据科学提高盈利能力的苏格兰中小企业、苏格兰政府提高参与度的努力以及苏格兰经济具有重要意义，因为数据科学的好处已经实现，全球对数据驱动型公司的需求也在增加。