The 2016 China Big Data Innovation and Application Conference was recently held in Shanghai. According to experts, the current scale of China's big data industry can reach 150 billion yuan, and it will enter an "acceleration period" in the next five years, reaching a scale of 800 billion yuan by 2020, achieving geometric growth.

From the perspective of industry segmentation, the big data industry is divided into three major parts: the foundation layer, software layer, and application layer. However, currently in China, the application layer of big data only accounts for 10% of the total, which is clearly a "shortcoming". Now, many domestic appliance, commercial and tourism enterprises attach great importance to the collection, development and application of big data. Xu Dongsheng, Secretary General of the China Household Appliance Association, said that for traditional enterprises, big data is the only way to transform traditional industries into the "Internet", but how traditional enterprises transform their business, products, management, etc. into data has become the focus of attention of enterprises. Many enterprises intend to obtain better, wiser, and more effective business decisions through in-depth mining of internal data. However, the reality is that the huge amount of data within the enterprise is still in a fragmented state, and its value is difficult to be explored and reflected. Only by breaking the dormant and fragmented state of data and creating an ecological environment for big data can the value of big data be truly realized.

According to Yu Liangxing, Chairman of OvCloud Network, the proportion of application layer in China's big data industry will be significantly increased in 2020, reaching 60%, or a scale of 480 billion yuan. Therefore, nowadays, various enterprises are considering increasing the value of big data applications as "chips". Relying on its years of accumulated industry data mining research advantages, Aowei Cloud Network has built an open big data platform, which can provide enterprises with integrated big data services including massive big data collection, mining, analysis, visualization, and other full industry chain services.