Mitigating Risks Associated with Big Data Solutions

降低与大数据解决方案相关的风险

• 批准号: RGPIN-2015-06075
• 负责人: Miranskyy, Andriy
• 金额: $ 1.31万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634586
• 关键词: Mitigating; Risks; Associated; Big; Data

Today’s ubiquitous communication and computing technologies generate magnitudes of data far beyond that available even a decade ago. The Big Data technology and services market is expected to grow at a compound annual rate of 27% from $9.8 billion in 2012 to $32.4 billion in 2017, leading to multi-fold increase in the amount of technical data generated. Modern organisations have unprecedented opportunities to gain new knowledge about their products, processes and services, which can be used to make projects more efficient, improve products and services, identify problems, take pre-emptive measures, and adapt business goals to new opportunities. Applications of new knowledge include predictive models which reduce, for example, hospital readmission rates, traffic congestion, and unnecessary power generation.

当今无处不在的通信和计算技术产生的数据量远远超过十年前，预计大数据技术和服务市场将以 27% 的复合年增长率增长，从 2012 年的 98 亿美元增长到 2017 年的 324 亿美元，处于领先地位。现代组织拥有前所未有的机会来获取有关其产品、流程和服务的新知识，这些知识可用于提高项目效率、改进产品。新知识的应用包括减少医院再入院率、交通拥堵和不必要的发电等的预测模型。