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Leveraging design-driven data analytics for business innovation

Leveraging design-driven data analytics for business innovation
利用设计驱动的数据分析进行业务创新
批准号:
CCB21-2021-00021
负责人:
Massa, Tania
金额:
$23.38万
依托单位国家:
加拿大
项目类别:
Applied Research and Technology Partnership Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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中文摘要
翻译
数据驱动的创新对加拿大企业的竞争力至关重要,也是经济增长的重要来源。随着企业从COVID-19大流行中恢复过来,他们可以使用数据来预测和影响未来。企业面临的最大挑战之一是有效利用现代信息系统(包括互联网、社交媒体、连接设备和传感器技术)获取、计算和存储的大量数据。中小企业往往缺乏有效设计和实施数据驱动战略的内部专业知识和资源。位于安大略多伦多的亨伯技术与高级学习研究所(亨伯)正在申请NSERC应用研究和技术项目(ARTP)资助“利用设计驱动的分析进行业务创新”。我们的专家团队将与公司,特别是中小型企业(SME)合作,应对这一国家挑战。我们将开展应用研究,开发“设计驱动的数据分析”(DDA)实践和产品,提供强大的竞争优势,并刺激区域企业的经济增长。DDA使用跨学科的方法将良好设计的原则纳入传统的数据分析(例如,分析使用报告和视觉来解释过去发生的事情[描述性分析],预测未来)。ARTP支持的行业驱动项目将通过为市场开发新的设计和数据驱动产品,以及使用分析提供竞争优势的新流程,为合作伙伴提供经济利益,增加收入并降低运营成本。这些项目将反过来支持DDA下一代学生创新者的培训,从而对高素质人才(HQP)产生很高的需求。
英文摘要
Data-driven innovation is critical to the competitiveness of Canadian businesses and an important source of economic growth. As businesses recover from the COVID-19 pandemic, they can use data to look forward to - and influence - the future. One of the greatest challenges for businesses is effectively utilizing the immense wealth of data acquired, computed and stored by modern information systems, including the internet, social media, connected devices and sensor technology. SMEs often lack the in-house expertise and resources to effectively design and implement data-driven strategies. The Humber Institute of Technology and Advanced Learning (Humber), located in Toronto, Ontario, is requesting NSERC Applied Research and Technology Project (ARTP) funding for "Leveraging Design-Driven Analytics for Business Innovation". Our team of experts will collaborate with companies, especially small and medium-sized enterprises (SMEs), on this national challenge. We will conduct applied research to develop "design-driven data analytics" (DDA) practices and products, providing a strong competitive advantage and stimulating economic growth in regional businesses. DDA uses an interdisciplinary approach to incorporate the principles of good design into traditional data analytics (e.g., analytics using reports and visuals to explain what happened in the past [descriptive analytics], to predict the future). The industry-driven projects supported by ARTP will provide economic benefits to partners by developing new design and data-driven products for the market, and new processes that use analytics to provide competitive advantages, increasing their revenues and decreasing operational costs. These projects will, in turn, support the training of the next generation of student innovators in DDA, thus developing a high demand for highly qualified personnel (HQP).
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