Gronghui announced on March 30th that it would realize its revenue for the year ended December 31, 2020 by 08198.HK.3.83亿Hong Kong dollar, year-on-year growth493.21%The owner of the company should share the loss during the period4676.7Ten thousand Hong Kong dollars, year-on-yearExpand by 39.11%Basic and diluted loss per share of HK14.16 cents; no dividend.
The Group's three big data centres opened in March and June 2019 and June 2020 respectively, with a total area of more than 18000 square meters and the total operational capacity to provide data analysis and storage services for up to 225000 data processors at the same time.
Big data Center provides its customers with a full range of services, from monitoring the average utilization and working status of data processors, to monitoring the overall security of the physical environment and Internet connections in big data Center. The company provides customers with monthly reports on the running results of their data processors. If any anomalies are reported by the data processor, the relevant customers will be notified immediately, and the Group will provide follow-up inspection and maintenance services as required. In order to ensure the full operation of big data Center, the Group maintains regular communication with local utility service providers on resource allocation or applications to increase or reduce the supply of public utilities.
In addition, the Group has implemented an integrated management software ("the software") for big data Center. By installing custom hardware in big data Center, the software provides an integrated solution for big data Center's cloud computing operation and maintenance management, financial management and resource allocation. The software enables customers to remotely monitor their data processors and obtain real-time information about average computing power, CPU load, utilization and elapsed time, and receive notifications of abnormal conditions of their data processors. The software effectively solves the pain points commonly existing in the operation and maintenance management of big data Center, such as lag in information acquisition, low efficiency of operation and maintenance, inability to quantify on-site work and inability to view on-site information anytime and anywhere.