Real Estate

 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 in china solution in its operations.

 

GOSDWAN's Innovation in 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

Cloud Exchange Components

With rich and high-performance data processing tools, the public cloud's robust infrastructure become the core data node for headquarters of medium to large enterprises. Currently more real estate and property enterprises have cloudified their headquarter data centers as the core of enterprise intranets as well as data aggregation and interworking centers with upstream and downstream ecosystem partners. To integrate the analytic capabilities of more cloud products from other cloud service providers to enhance architecture redundancy, cloud exchange components have become a necessity. Aside from enabling the deployment of mirrored CPE for multiple heterogeneous cloud environments, multi-cloud interconnection should also provide protected cloud exchange relays to achieve flexible scheduling of inter-cloud channels. With software-defined tools and multi-cloud connectivity through protected dedicated lines, customers can achieve transparent and unified multi-cloud convergence in a secure environment.

Secure Access Service Edge (SASE)

In diversified access scenarios, such as working from home under the COVID-19 pandemic, temporary sales offices settings, and mobile promotion campaign sites, to ensure business operation consistency and network security, the enterprise's network architecture needs to be upgraded to support Hybrid WAN and centralized management of security perimeter. In addition to supporting VPN networking, the enterprise's network reconstruction solution is integrated with the SASE solution based on traffic design so that the employees can use software terminals to access the enterprise intranet at anytime and anywhere. The unified security policies also support traffic auditing of traffic, which is a step further to a zero-trust security architecture.

GOSDWAN Topology Diagram in Real Estate

 

If you want to know more about maxxan realty founder, please visit our website.

 

As a sd wan company, we will do our best to meet all the needs of customers.



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