No. 1th store says big Data electric trader safety and cost problem highlight

Recently, 1th stores claimed to have built a SBY platform and an "order pool" concept, through this platform and the "order pool" to achieve data management. They collect and analyze a large number of customer data, reflecting some regularity of things. A store called this the big Data Age electric dealer marketing.

Large data concepts are known and quickly flushed, and powerful companies quickly deploy large data to product deployments, and a small number of industries will be subverted. Later, various large data items and systems are likely to become standard configurations, visible everywhere. The rise of the big data age, to many enterprises bring opportunities, challenges, whether it is new data or existing data, are the huge wealth of enterprises, and bring business opportunities for enterprises. But only the effective application and management of enterprise data can achieve the maximum return on data investment.

Although there are many trades and professions discussing big data, there are few people who can say what big data is. In a way, large data is the frontier technique of data analysis. In short, the ability to quickly get valuable information from a variety of types of data is a big data technology. IoT, cloud computing, mobile internet, car networking, mobile phones, tablets, PCs, and all kinds of sensors all over the globe are data sources or hosted.

Some problems with large data cannot be mentioned. Such as: capacity problem, mass data storage system must have the appropriate level of expansion capabilities. At the same time, the expansion of the storage system must be simple, can increase the capacity by adding modules or disk cabinets, and even do not need downtime; security issues, due to the extensive collection of information on the individual's many key information is entered, so there will be a certain degree of information security requirements. Large data applications and collections spawn new changes, require more security considerations, and cost control is a key issue for companies that are using large data environments. Trying to control costs means that we have to make each device more "efficient" while also reducing the expensive parts.

In the Speed road network interview a shop related responsible person Shinping, it for a store large data construction was confirmed. For security, and cost issues, Shinping says it's not understood.

Nowadays, the electric business enterprise is in the forefront of the big data era, but when embarking on the blueprint of large data, it should always be alert to the risks and challenges it will bring.

Analysts believe that the cost of large data construction is very high, at present some businesses for large data applications are still in the conceptual stage, some simple data analysis and collation is just some shadow of large data, electric business big data operation may be just a gimmick. The advent of large data, a large number of data collection to face the risk of data leakage will be increased, the value of this information is also very valuable, electric business enterprises to prevent data theft and loss. The ownership and use of some sensitive data are not clearly defined, and many of the analysis based on large data do not take into account the personal privacy issues involved.

(Responsible editor: The good of the Legacy)