In the information age, data has become a resource. It is as valuable as gold and energy, but it can be reused to stimulate economic development.

Through a set of data, we can see the strong development momentum of the big data industry: at present, the global IT industry is growing at a rate of 5.5%; However, the big data industry is growing rapidly, with a growth rate of 40%. Through comparison, we can draw the conclusion that big data industry can be the driving force of global economic development and the innovator of economic development.

Under the huge global population and application market, exploring solutions based on big data and gaining insight into the complex and ever-changing market has become an important means for enterprises to enhance their competitiveness. Anyone can feel that the era of big data has arrived just by intuition.

Thinking changes in the era of big data

Victor Meyer Schoenberg mentioned in "The Age of Big Data" that the biggest change in the era of big data is to give up the desire for causality and pay attention to relevance instead. In other words, as long as you know what it is, you don't need to know why. This has subverted the thinking routine of human beings for thousands of years and put forward new challenges to human cognition and the way of communicating with the world.

It can be said that the value of this book is reflected in three aspects: First, the thinking transformation of big data, focusing on the changes in values and concepts in the era of big data change; Second, about the three elements of big data affecting business change: namely, the interaction of data, technology and innovative thinking; Third, it is about governance and privacy under the generalization of big data.

Compared with enterprises in China, enterprises in the United States are well aware of the value of big data, and can tap the hidden value of big data, so as to obtain the greatest benefits. It can be said that they have established big data thinking, which has prompted them to innovate and mine better data. The United States collects much more data than China. They not only collect understandable data, but also "incomprehensible" data, and spend a lot of resources to store these data, so that these data will always be valuable. On the other hand, in China, most enterprises still use big data as a marketing tool, but big data can also help people change their business model and profit model, which is the greatest value of big data. The biggest difference between the United States and China is that they have big data thinking and know how to use the value of big data, but this does not mean that China cannot surpass the United States. The advantage of China is the large amount of data, and "big" is also very important in the era of big data.

The development of a city needs big data. Without the help of data, the city will not get the optimal development plan. Big data can help government leaders make better decisions, especially public policy decisions. Cities need to know how to build infrastructure to collect data. At the same time, they need to use big data to open their minds and let the data speak. With the help of many forces, even experts in big data may not have the most correct decision or the most effective way to use big data. Therefore, the government needs to listen to the opinions of private enterprises or institutions in this regard. It is very important to cooperate, communicate and widely absorb opinions in the era of big data.

The "final winner" in the era of big data

The dilemma facing big data is not in technology, but in data flow. In the era of big data, a person's wisdom can't help us make better use of the value of big data, so we should make the data flow move, let different departments and different companies participate, and then optimize the data.

On the one hand, people should trust big data, don't be afraid of big data revealing privacy, and need to establish perfect big data protection. Distrust leads people to be unwilling to let other organizations know the data. If they can't use the data, they can't talk about the value of big data. On the other hand, we should accept the restrictions on the use of big data and not give it too much meaning.

So, who will be the final "winner" in the era of big data? At least in my opinion, the winners will not be large enterprises that have mastered a lot of data, but should be some unknown enterprises that have undergone leap-forward changes because of big data. So the data is like a golden mountain, but the data is there, and this golden mountain will not belong to you. What enterprises need to do is to understand and explore these "golden mountains" and become the winners of big data.

Big data is a new perspective on reality, which not only changes marketing and manufacturing, but also changes business models. Data itself is the source of value, which means new business opportunities. No industry can be "immune" to big data, and only by adapting to big data can it continue to survive in this change.