Cloud-business analytics software helps in interpretation and analysis of business data through continuous exploration and investigation of old business performance to gain decisive insights for business planning over cloud. Through application of statistical methods and tools in business performance data, a cloud business analytics software conducts predictive analysis to derive decision-making insights and inputs. It helps the organizations to optimize its business operations and facilitates informed & strategic decision-making. In addition, it helps to uncover patterns and relationships between data streams and leads to automation of tasks and processes for real-time responses in decision-making. The outputs are mostly used by managers, financial analysts, security personnel, and key decision-makers of organizations. Demand for cloud-based business analytics software is high in small- & medium-sized enterprises, owing to its low cost and enhanced usability. In addition, demand for social media analytics, a part of business analytics, is on a significant rise due to increase in popularity of social media marketing, which drives the growth of the market.

Market trends, future estimations, and thorough study of the cloud-based ERP market based on product, services, industry vertical, and country are included in this report. The cloud-based ERP market sizing is cumulative of products and services. The report gives a complete view of cloud-based ERP market globally. It further highlights the competitive edge and informs about products and services offered by the key players and key moves they play for the development and expansion. Furthermore, the report includes driving factors, restraints, and opportunities of cloud-based ERP market providing a guidance to the new vendors entering the market.

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2018“云+未来”峰会在广州召开。5月23日，由广东省人民政府作为指导单位、广东省经济和信息化委员会和腾讯公司共同主办的2018“云+未来”峰会在广州召开。峰会期间，数字广东公司亮相大会展览区，马化腾携数字广东公司团队向省、市相关领导介绍了协同办公平台、政务云平台、移动民生服务平台、网上办事大厅、公共支撑平台等系统的建设情况。

GPU（GraphicProcessingUnit），即图形处理器。GPU计算就是利用GPU来进行通用科学与工程计算。GPU优势在于解决数据并行计算问题。在大量数据元素并行程序方面具有极高的计算密度（数学运算与存储器运算的比率）。目前，GPU芯片可根据与CPU的关系分为独立GPU和集成GPU。