GoSDWAN
Company
GoSDWAN
Room A1,11/F Winner Building, 36 Manyue Street, Hu
Hongkong, Hong Kong
China
Share · Favorite
Product Categories

Edge Computing Real Estate

Edge Computing Real Estate
Category:
Price:
USD 1.00 - 100.00
Delivery Lead Time:
1 week

Product Description

Edge Computing Real Estate

Company J - Fortune 500 Real Estate Group







Company J is ranked among the Fortune 500 US list, with operations in many countries around the world, hundreds of subsidiaries and approximately 60,000 employees. In 2015, Company J managed and provided outsourcing services for more than 4 billion square feet of property on behalf of its clients, and assisted them in property sales, acquisitions and financing transactions worth more than 100 billion USD.



Company J's entrepreneurial spirit and scientific management approach of taking a more professional and proactive approach to business compared to other companies in its global expansion are favored by a large number of investors. As of 2021, Company J has subsidiary companies in more than 20 cities in Greater China, including Beijing, Shanghai, Guangzhou, Chengdu, and Tianjin. The wide geographical distribution of its branches and its leading asset management philosophy has prompted the company to adopt the cost-effective SD-WAN edge computing real estate solution in its operations.



Recommended Smart Cloud Connect Solutions Services

Cloud Exchange

Layer 2 mesh multi-cloud connectivity with flexible bandwidth provisioning



Hybrid WAN Adoption

Solve the key challenges of hybrid networking between the traditional MPLS VPN structure and SD-WAN network multiplanes.



RMA Support

Manage recovery and maintenance of equipment components around the world.



GOSDWAN's Innovation in Edge Computing Real Estate



Massive Data

Real estate and property-related industries require multi-dimensional underlying data. In the Internet of Things IoT era - where everything from access control to smart buildings can be connected through sensors and systems - practitioners are incorporating advanced analytics and Artificial Intelligence AI into Enterprise Asset Management EAM. AI technology can be used to analyze data collected from IoT-enabled assets, gaining insights to help maintenance teams make more informed key business decisions, such as using data to analyze industry trends, capture market trends, and effectively unlocking and maximizing the value behind the data through tools for data collection, analyzing geospatial data, logistics and manpower, consumer scenarios and other non-financial data. From collection, storage to analysis, the first-hand data need to be supported by a stable, efficient and flexible infrastructure.



Any Time, Any Place

The industry's data center is fully cloud-based, and users need to access the branch's edge nodes to obtain enterprise application services at anytime and anywhere. Users are able to securely and stably log in and use at any time without the need for complex installation and setup. Especially under the COVID-19 pandemic, various network accesses from diversified workplaces may cause vulnerabilities to threats such as middleman attacks and WIFI hijacking. Accessing the intranet at any time, any place should not sacrifice security configuration or network performance.



Centralized Management

With a unified network standard, an enterprise's branch offices do not need a professional network management team. Its headquarter's network management team needs to have a panoramic view of network operation data, including key SLA indicators and non-production operation status, and the underlying network technology to support one-stop management of all network elements and performance, including link utilization, traffic application ranking, blacklist and white lists and monitoring and management of key SLA indicators, with the ability to combine open secondary data sets.