Traditional stores add insult to the big data?

In recent years, ebay, Taobao, Beijing-east and other major electric power companies with new technology and the rise of different armies, double 11 and other large-scale promotional discounts, so that more and more DIY enthusiasts and digital enthusiasts began to accept and become accustomed to online shopping, traditional electronic stores are under great pressure. And with the advent of the big data age, the electric dealers make full use of large data mining value more customized to serve consumers, traditional stores look more "worse". However, as the "Old Zhongguancun" Dragon mansion in this battle of gunpowder, but clever use of Intel Internet and large data-related technology, combined with its own strong video large data base, prominent encirclement.

Big data makes traditional stores worse?

The huge rise of all kinds of electric dealers greatly changed people's consumption patterns, more and more people choose to move from the market to the network, in a dazzling array of electronic screen selection of goods to drag into the shopping cart. In stark contrast, the traditional stores are gradually sparsely populated, sales performance is not as good as before. Take the real estate leasing as the main business, lacks the direct correlation with the consumer, causes the traditional store in the current and the electricity merchant's War of smoke the dilemma to be heavy.

The sharp increase of consumption data provides the basis for the electronic business enterprise to accurately grasp the user group and individual network behavior pattern. Through the application of large data, the electronic Business enterprise can carry out personalized, individualized, accurate and intelligent advertising push and promotion services, and create a new business model which is more cost-effective than existing advertising and product promotion forms. Therefore, the electric business enterprise may through to the big data grasp, looks for more and better to increase the user stickiness, the development new product and the new service, reduces the operation cost the method and the way.

The appearance of big data seems to make the traditional store more embarrassing.

Wisdom Dragon: The Sword of large data inversion

However, as the IT Store "old", Hailong Electronics City but do not agree with the big data is a challenge, but is a powerful help and bring more opportunities. 2013 Hailong focused on the "wisdom of the Dragon" Industrial Upgrading program, is committed to the market through the monitoring of video data collection, real-time analysis of consumer behavior data, to achieve consumer behavior analysis and shopping malls intelligent management, and ultimately achieve direct contact with consumers to create an efficient and powerful platform.

"The Advanced and complete video surveillance system in the Hailong building accumulates a lot of unstructured data, this is actually the big data," Dragon Group operations manager Song Ping introduced, through the camera to the consumer intelligent recognition, in the store mobile route, purchase behavior analysis, and based on consumer information and other historical data, To provide consumers with the most appropriate promotional information and procurement information recommendations, will be able to greatly enhance the physical store consumer satisfaction, resulting in the region from the unique value of the electric dealer. In addition, any store has cold zone and hot zone, cold zone and Hot zone store rents are not the same, how to accurately identify the difference between hot and cold areas, so more scientific pricing will be to achieve intelligent management must be the way.

Mining large data value object-linked technology to build Wisdom Dragon

In the "Wisdom Dragon" project driven by July 2013, the Dragon chose Tegetye Company based on Intel products and technology to create a combination of technology, and in the Dragon Electronics City Data Center to achieve a successful deployment, so that "wisdom dragon" to become a reality.

"During the design of the project to the implementation of the deployment, Intel Corporation and the Intel China Institute of Technology (TEGETYE) have provided many aspects of help to the program provider." Tegetye Integrated Cloud Product Division manager Dong Liang introduced, in the software level of the integration machine, Tegetye into a centralized control platform developed by the Intel Technology Research Institute, both technically and architecturally perfect. In addition, Intel provides valuable advice on the key technologies of the E5-2600 v2 architecture, the feasibility of the case, and the implementation of the product architecture.

Ultimately, the IoT is based on a parallel processing (MPP) architecture and a highly available cluster (RAC) system, the combination of the Intel Xeon E5v2 processor and the Intel Visual Management system (including video object storage, video real-time processing systems, and internal sensor networks) has gained strong processing power, Data analysis capability and data loading speed.

"The current solutions provided by Intel and Tegetye have been able to meet the demand for real-time analysis of massive video information in a fairly large traffic environment." Dragon Group operations Manager Song Ping said, "If there is a burst of growth in the future of it stores, the value of the current platform in terms of background management and innovation can be immediately demonstrated and we gain immediate competitive advantage." ”

"With the Intel Institute and Tegetye of the cooperation, mainly in the transformation of our store opportunities." "Dragon Group operations manager Song Ping said that the first step in the transition is to directly understand consumers, real-time collection of consumer feedback, to provide data support for decision-making." Next, the Dragon will also be implemented on this platform facial recognition video analysis, especially for members, according to the previous consumption records and behavior to push the relevant information, and thus provide better service. "For management, these goals are being pushed forward systematically," he said. Once the passenger flow erupts again, the value of the platform can be immediately apparent. "Song Ping said.