What are the challenges facing the development of China's big data industry?

Challenge 1: There is no difference between good and bad in the development of big data industry.

Big data in China is still in the initial stage of development. Under the environment of "innovation and mass entrepreneurship", a large number of big data enterprises are constantly emerging, but the development of enterprises is neither good nor bad.

Challenge 2: Big data innovation, blind entrepreneurship

In the process of innovation and entrepreneurship, due to the lack of understanding of the big data industry chain, many enterprises follow suit and fail to give full play to their own advantages, resulting in a huge waste of resources. When we innovate, we often see some benchmarks. Generally speaking, when you see the scenery of others, you can't see the suffering behind them. Often when you are in a hurry to leave, you will find that it is full of pits, and

Competitors abound in Huashan Road. Therefore, the original intention of our ranking is to sort out what industries, sectors and fields are like, accurately find our own advantages and make innovations and efforts.

Challenge 3: blind investment

Howard Marx once said that "the extensive knowledge that investors have clearly achieved is almost wrong". The reason is that when capital chooses big data projects and enterprises, it lacks objective evaluation criteria and overall understanding of the industrial chain, which leads to the investment market chasing hot spots and has certain blindness, which greatly reduces the positive driving force of capital on the development of big data industry.

Challenge 4: the blindness of supervision

At present, it is difficult for regulators to effectively supervise and correctly guide big data enterprises and institutions, and it is more difficult to create a benign ecological environment for the development of big data. The core reason is the lack of standards and norms for the identification and evaluation of big data enterprises.

Challenge 5: blindly building big data projects

Due to the lack of talents and big data consulting services, it is difficult for users to have a comprehensive understanding of big data projects, which is easily influenced by manufacturers, leading to the blindness of construction content; Due to the lack of overall understanding of the industry and evaluation standards and methods for big data enterprises, there is also some blindness in the choice of big data service providers.