金融大数据的行业应用与发展

当前,随着经济增长新动力的培育和发展,中国经济进入了结构转换期,金融行业面临着发展方式的转型,业内对金融创新的需求日益迫切.随着大数据的加速推广,金融行业找到了创新增长的方式.但在金融大数据的应用过程中,也不可避免的面临一些挑战.     

大数据在城市规划中的应用研究

大数据的多源性、人性化、时空性等属性与城市规划决策的本质属性紧密结合,为城市规划决策提供数据基础和技术支持,促进城市规划准确、城市治理高效的发展。本文通过梳理大数据在城市规划中的作用的相关文献,大数据促进了城市规划从小样本静态到多源时空数据、从单一空间尺度到全球空间尺度、从物质空间到以人为本的转变、从人工空间到人工空间的明显转变。在此基础上,本文主要从居民时空行为分析、城市交通网络布局优化、城市功能区划分、区域联系和城市层次分析等方面,梳理大数据在城市规划领域的应用进展。城市生态环境治理与城市边界划分。     

大数据时代的数据挖掘技术与应用

大数据时代的发展为各行各业提供了新的工作方式,为了更好应用大数据相关技术手段,数据挖掘成为比较基本的一环,确保数据挖掘技术可以得到较好创新发展,并且适应于大数据环境成为当前发展的重要目标。下面就重点围绕着大数据时代的数据挖掘技术应用进行了简要分析论述,以供参考。     

大数据技术在油品销售企业的应用研究

随着油品销售行业信息化进程的加快,油品销售企业的数字化转型已成为必然。通过运用大数据技术,可以有效地挖掘企业各种数据的潜力,提高企业在新常态下的竞争环境中的适应能力。本文通过对油品销售企业大数据平台的需求进行了分析,提出了相应的系统体系结构、数据管理方案,对大数据应用进行了规划,并从经营决策、客户营销、现场管理等几个方面论述了在油品销售企业中实施大数据应用的重要性。     

大数据技术在商业银行的应用研究

在科学技术水平快速提升的大背景下,传统的金融市场环境发生了很大的改变,金融市场的经营管理呈现出数字化、智能化的趋势,服务模式也具有个性化和定制化特点,这就要求金融企业建立适应现代化社会发展的创新型管理和服务机制。现阶段,很多先进技术已融入金融行业的发展中,如大数据技术、云计算技术、人工智能技术的应用为企业带来了一定的机遇和挑战,文章主要研究了大数据技术在商业银行中的应用。     

浅谈大数据应用现状及发展趋势

大数据应用就是利用数据分析的方法,从大数据中挖掘有效信息,为用户提供辅助决策,实现大数据价值的过程。本文主要介绍了大数据概念、特点、应用现状以及大数据的发展前景。     

试论大数据技术在我国现代物流业发展中的应用

近年来,人们的生活水平不断提升,消费需求也在不断提高,对现代物流行业提出了更高的要求。为更好的满足不断上升的市场需求,应该将物流产业与大数据技术有机的结合起来,以提高物流业的运行效能和管理水平,这对我国现代物流行业的可持续发展存在着重要的作用。对此,本文简单阐述了大数据的含义及特征,并对大数据技术在我国现代物流业发展中的应用进行分析。     

探析大数据时代计量数据的应用

计量数据是指使用计量器具经检测而出具的数据,大数据的广泛应用推动了传统计量的转变,计量在大数据时代对数据的深度介入,有利于得到大而全、高质量的计量数据。目前,我国计量行业对大数据的理解和应用相对滞后,如何探索大数据时代下计量数据的应用是当前计量数据关注的焦点。因此,探索大数据时代计量数据的应用策略具有十分重要的现实意义。本文以计量数据为切入点,在概述大数据时代计量数据的重要性的基础上,重点探讨了大数据时代计量数据的应用策略,以期指导实践。     

大数据技术在雾霾治理中的应用

近年来,随着我国社会经济的发展,环境破坏越来越严重,自2013年以来,我国多个城市饱受雾霾侵袭,居民的健康和生活受到了很大的影响。2015年8月19日,国务院发布了《促进大数据发展行动纲要》,自此大数据被提升为国家发展战略。大数据时代的来临,不仅为我国社会经济发展带来了新的契机,也为雾霾天气的治理提供了新的技术手段。本文通过对大数据处理技术的简单介绍,进而提出应用大数据技术治理雾霾的建议。     

电力企业财务大数据技术应用探究

近年来,随着社会的发展,各行各业的竞争日益激烈,单利体系的融入使得当前我国电力企业的财务会计管理也随之处于一个激烈碰撞、急需改革的关键时期。我国电力企业为了能够更好地在市场经济变动的关键时期中适应,从而实现电力企业生产力的创新发展。     

大数据技术在采购管理审计中的应用研究

采购环节权力分散、资金流转频繁,加之传统审计方式难以解决审计全覆盖和持续审计难题,导致企业腐败行为往往发生在采购环节。大数据技术具有高效处理数据等优势,在采购管理环节展现出极大潜力。文章首先总结出传统审计存在无法实现全覆盖、审计监督滞后等问题;其次指出大数据技术在审计中具有多维化、实时化、精准化等优势;再次比较大数据审计在采购环节中业务逻辑和风险导向两种应用模式的运行框架及优劣势;最后针对大数据审计的制约因素进行分析,提出设立首席数据官、提升审计人员数据解读能力等建议。     

Cross-national differences in big data analytics adoption in the retail industry

Big data analytics (BDA) has emerged as a significant area of research for both researchers and practitioners in the retail industry, indicating the importance and influence of solving data-related problems in contemporary business organization. The present study utilised a quantitative-methods approach to investigate factors affecting retailers' adoption of BDA across three countries. A survey questionnaire was used to collect data from managers and decision-makers in the retail industry. Data of 2278 respondents were analysed through structural equation modelling. The findings revealed that security concerns, external support, top management support, and rational decision making culture have a greater effect on BDA adoption in developed countries UK than in UAE and Egypt. However, competition intensity and firm size have a greater effect on BDA adoption in UAE and Egypt than in UK. Finally, human variables (competence of information system's staff and staff's information system knowledge) have a greater effect on BDA adoption in Egypt than UK and UAE. The findings indicate that a “one-size-fits-all” approach is insufficient in capturing the heterogeneity of managers across countries. Implications for practice and theory were demonstrated.     

大数据下“互联网+冰雪旅游”产业融合发展对策

十九大报告指出:"要推动互联网、大数据、人工智能和实体经济深度融合"。首先,分析大数据对冰雪旅游产业发展的作用;调查"互联网+冰雪旅游"产业融合现状,分析出现的问题;提出大数据背景下"互联网+冰雪旅游"产业融合发展对策是构建冰雪旅游大数据分析中心,实现精准营销;强化政府主导和支持力度,均衡市场发展;培养复合型旅游专业人才,提升创新能力;创新市场运营模式,增强融合动力。     

Social media user behavior analysis applied to the fashion and apparel industry in the big data era

With the rapid development of the Internet and new media, the enormous data from social media and other public platforms have attracted increasing attention to user behavior research. Fashion is a hot topic for both the general public and the social economy, so there is great potential for exploring and manipulating social media data for the development of the fashion industry in the current era. This paper aims to explore the current status of social media user behavior analysis applied to the fashion and apparel industry for advanced product development, branding strategy planning and the resolution of other decision-making problems in the big data context. First, articles were retrieved from the database "Web of Science". With the assistance of experts, 201 articles were determined for further study. Next, the evolution of hot topics within the domain was visualized and discussed through bibliometric analysis. Then, the application of social media data in the fashion domain was investigated, and common data mining methods were discussed. Finally, the paper summarized the development status of social media user behavior analysis (SMUBA) applied to the fashion and apparel industry and put forward the future prospect under the framework of mass customization in the big data era.     

The business aviation industry: growth,contraction and consolidation

Business Economics - The most significant portion of revenue within the general aviation industry derives from business aviation. Since the mid-1960s, this industry segment has always been largely...     

The intermediating role of big data analytics capability between responsive and proactive market orientations and firm performance in the retail industry

Big data analytics capability (BDAC) is the key resource for competitive advantage in the drastically changing market. Although some studies have investigated the impacts on firm performance, there is limited understanding of how firms enhance their BDAC. This study draws on organisational culture and investigates the effects of responsive and proactive market orientations on BDAC and firm performance. The results show that both responsive and proactive market orientations increase BDAC. Further, BDAC fully mediates the relationship between these two market orientations and firm performance. Our findings suggest that BDAC researchers should focus on market orientations that enhance BDAC.     

飞行器射频隐身技术及发展思路

射频隐身是武器平台对抗无源探测设备的重要技术手段,与雷达、红外隐身一起构成 作战平台的隐身能力。飞行器射频隐身性能是其作战能力和生存能力达成的重要因素。在对 飞行器典型有源传感器的使用和面临的威胁分析基础上,分析了飞行器射频隐身主要技术手 段,概括了飞行器射频隐身主要技术特点,提出了飞行器射频隐身技术的发展思路。     

Acceptance and use of big data techniques in services companies

Companies able to take advantage of the information coming from the use of Big Data will have a competitive advantage by being able to make decisions based on greater knowledge of customers and competition. Besides, the access to the software for the treatment of this great amount of data is free. So, the objective of this paper is to study the level of acceptance and use of these technologies, Big Data techniques, by services companies. To analyse the intention and use it extends the acceptance technologies model- Unified Theory of Acceptance and Use of Technology (UTAUT) - to the context of Big Data techniques, incorporating the effect on it of three new variables: resistance to use, perceived risk and opportunity cost. The structural model was evaluated using partial least squares structural equation modelling (PLS-SEM) with an adequate global fit. The verification is carried out with a sample of 199 Spanish services companies, and its main results are the strong effect of the facilitating conditions on the intention and use of Big Data, as well as the direct effect of the opportunity cost and the resistance to use on the intention, and the indirect inhibiting effect of the perceived risk through the resistance to use on intention behaviour.     

舰船有色金属焊接材料的发展与应用

在当前国际竞争非常激烈的情况下,为了提高造船质量和效率,降低生产周期和成本,各国都在加紧研究在造船中使用高度自动化的焊接机器人系统的最佳途径。