In the internet age, big data thinking makes "The last winner"

In the http://www.aliyun.com/zixun/aggregation/9356.html "> Information Age, Data has become a resource. It is as valuable as gold and energy, but it can be used repeatedly and stimulate the development of economy.

The strong momentum of the big data industry is being seen through a set of data: At present, the global IT industry is growing at 5.5%, but the big data industry is growing at a rate of 40% per cent. By contrast, we can conclude that large data industry can be the driving force of global economic development, can become the innovator of economic development.

In the global large population and application market, explore the large data based solutions, in-depth insight into complex and full of changes in the market has become an important means for enterprises to improve their competitiveness. With intuitive feelings, anyone can feel the big data age has come.

Thinking transformation in the age of large data

Victor Maire Schoenberg in the big Data age, the biggest shift in the big data age is to abandon the desire for causation and instead focus on the relationship. That means just knowing what "is" without needing to know why. This has subverted the human's thinking practice for thousands of years, and posed a new challenge to human cognition and the way of communication with the world.

It can be said that the value of this book is embodied in three aspects: first, the thinking transformation of large data, the change of value and concept in the era of large data change; second, the three elements that influence business change: the interaction between data, technology and innovative thinking; Thirdly, it is about governance and privacy under the generalization of large data.

In contrast to Chinese companies, where American companies know the value of large data and can tap the hidden value of large data to gain maximum benefit, they can say they have built up big data thinking, prompting them to innovate and dig for better data. The United States collects more data than it does in China, gathering not only understandable data but also "incomprehensible" data, and it spends a lot of resources storing and keeping data valuable. At home, most companies also use large data as a means of marketing, but large data can also help people change business models and profit patterns, which is the biggest value of big data. The difference between the United States and China is that they have large data thinking and know how to use the value of large data, but that does not mean that China cannot surmount the United States, China's advantage is to master the volume of data is large, and in the Big Data era "big" is also very important.

The development of cities requires large data, and the cities without data will not get the most optimized development plan, and large data can help government leaders make better decisions, especially public policy. Cities need to know how to build infrastructure to collect data, and to use large data to develop ideas, to allow data to speak, and to rely on multiple forces, even large data experts, but not necessarily the most correct decisions or the most effective way to use large data, Therefore, the Government should listen more to the views of private enterprises or organizations in this respect, and it is very important to co-operate, communicate and widely absorb views in the age of large data.

The "last winner" of the Big Data age

The dilemma facing big data is not technical, but data flow. In the big data age, a person's intelligence can not help us to better use the large data value, so to let the data flow, so that different departments and different companies are involved in order to optimize the data.

On the one hand, people have to trust large data, do not fear large data exposure privacy, need to establish a sound large data protection. Mistrust leads people to be unwilling to let other organizations know the data, and if they cannot use it, it is much less valuable. On the other hand, must accept the big data use limit problem, do not give large data too much meaning.

So who is the last "winner" in the Big data age? At least in the author's opinion, winners are not big companies that already have a lot of data, but rather a leap in the name of some obscure companies because of big data. So the data is like a Jinshan, but the data is there, this jinshan will not belong to you, the enterprise needs to do is to understand and excavate these "Jinshan", become Big Data winners.

Big Data is a new perspective on reality, not only changing marketing, manufacturing, but also changing the business model. The data itself is a source of value, which means new business opportunities, and no industry can produce "immunity" to big data to survive in this transformation.