How to use industrial big data to promote the transformation and upgrading of the manufacturing indu

Ma Yun once said at the Yunqi Conference: "In the past, the manufacturing industry relied on electricity, and the future manufacturing industry relied on data!" "At present, we are in the era of big data and digital transformation, data is everywhere, everything can speak with data, and the use of data-driven ideas and strategies has gradually become a consensus in manufacturing practices.

To achieve intelligent manufacturing, big data must be used. For example, in terms of equipment management, in the past, product quality was affected due to wear and tear of equipment during operation. After the use of information technology and Internet of Things technology, product failures can be clarified through real-time perception data, and all factors in the production process can be accurately controlled through industrial big data, so as to truly realize intelligent production.

The era of big data manufacturing is coming, and the data analyst exam.

The three pillar industries in the start-up period of the big data era: the network industry, the new energy industry and the new manufacturing industry represented by the 3D printing industry, their common underlying driving force is the development of big data. A generation of new products based on new manufacturing concepts and technologies, such as smartphones, is sparking a new wave of investment, entrepreneurship and innovation that is transforming the traditional manufacturing industry as it is known.

To put it simply, big data manufacturing has at least three characteristics:

First, the products are all data terminals, which have the ability to produce, store, transmit and process data. Big data manufacturing is not something like automation, computerization, or robots, and it is just an improvement in the production process, and it has no revolutionary significance. The hardest standard for big data manufacturing is that the product itself is a data terminal, and the use of products will generate data, which can be reprocessed and utilized.

Everything can be a data terminal, and the best examples are drones, smartphones, and all sorts of devices loaded with sensors.

Second, the entire process of product design, manufacturing, sales, operation and maintenance, and update is completed by relying on various data and data methods, and new materials, new processes, and new processes are widely used, which is highly dependent on the Internet. At present, it is only a small number of companies in the network industry that can initially achieve this, and even the products themselves are data-based. Some entrepreneurs in the traditional manufacturing industry believe that as long as some auxiliary links use the Internet, or mainly rely on the Internet in the marketing process, it will be regarded as a new transformation.

In fact, this is just the beginning, and there are still thousands of miles away from a complete revolution. For example, driverless cars can be counted as products made of big data, while mere connecting to the Internet on the automotive information service system can only be regarded as an improvement of traditional products.

Third, the products are combined with product sales and after-sales continuous services to form a new business model. The basic business model of the traditional manufacturing industry is the product**, even if some after-sales service is carried out around the sale of the product, it cannot become the main profit**. The products of the big data manufacturing industry are focused on continuous service, and product sales are carried out around continuous service.

A prime example of this is Apple. In addition to the well-known mobile phones and tablets, the real star is actually its web app store, with revenue of more than $20 billion in 2014, a growth rate of more than 70%, and a gross profit margin of more than 70%, surpassing all Internet companies except Google in terms of revenue alone. As a result, the investment community does not know how to classify Apple as neither IT manufacturing nor network services.

The best way to do this is to define another industry, which is called big data manufacturing.

Any company that meets the above three characteristics can be classified as a big data manufacturing company, whether they are in the process of transformation or just starting a business. Of course, it is still the embryonic stage of big data manufacturing, and the products will inevitably have traces of tradition, and the dependence and utilization of big data are still quite limited. However, some revolutionary innovations are emerging.