Big data in China

Chapter 10 How does China get on the big data express? (1)
The State of Big Data in China
The first year of China's big data market is 2013, because in this year, some big data products have been launched, and some industries have produced big data application cases.It is estimated that the next four years will usher in the rapid development of the big data market.

It has to be said that data has been closely related to us, and it has penetrated into every industry and business function area unconsciously.McKinsey, a world-renowned consulting company, pointed out in a research report that people's use of massive data will herald the arrival of a new wave of productivity growth and consumer surplus.The concept of big data has not only attracted the attention of the computer industry, but has also become an important concept in other industries.

☆Information Status

As we all know, data is the carrier of information.Our understanding of information should not be limited to "numbers", but all information stored in computers, such as video and audio.Due to the continuous increase of data, the amount of information carried by the data will also increase. Therefore, the boundaries of human knowledge will continue to expand, and an "information explosion" may occur in the future. Information.

A technical worker once told me that he had personally experienced the transformation from small data to big data.He works as a database programmer.According to him, when he was working in the United States, he could feel a powerful force behind the data.He also told me that the best evidence that we have entered the era of big data is that the database has become a data warehouse.However, when he returned to China, he discovered that there is a considerable gap between our big data processing and the United States in all aspects.

The era of big data is another challenge when we face international competition.There are considerable differences between our country's traditional culture and foreign countries.Our tradition is to emphasize opinions and light data.For example, social sciences in our country emphasize qualitative research, while foreign countries, on the contrary, pay more attention to quantitative research.Therefore, when we are faced with the opportunities and challenges that data brings us, it is very important whether we can find innovative ways to face up to the deficiencies of tradition.

However, we are in the era of big data and do not equate it with absolute security.Our network security requires government departments to formulate special policies and laws to protect privacy.

The boundary of privacy is that you must have control over your privacy, that is, you can manage and delete your own information at will, and you will not be troubled by others stealing your identity information.

Our country is obviously not doing enough at this level.The constraints and obstacles for Chinese society to enter the era of big data, as well as the privacy considerations given to each of us, are issues that everyone must think about.

☆The status quo of people

Those who adapt to the era of big data are IT technicians who can handle massive amounts of data.With the rapid development of the big data industry, the demand for IT technicians is also increasing day by day.Among them, the demand for IT technicians is not only the demand in quantity, but more importantly, the demand in quality.

At the Big Data World Forum in 2012, some guests appealed: "There is a shortage of talents for positions related to big data. Europe and the United States are also looking for talents in this field in the Chinese market, but they do not know that China is even more scarce in this area. In the future, the competition of a country To a large extent, the power of analysts is determined by analysts. Future decisions will be made through data, and decisions will be made through data analysis results. Therefore, the level of analysts is crucial to the competitiveness of a country and an enterprise. very important."

According to our survey, domestic data analysts are generally inferior to foreign analysts.The salary level of domestic data analysts is also much lower than that of foreign data analysts.In such a competitive market environment, it is difficult to have high-level data analysts.

Chen, who just graduated from college, had the opportunity to join Intel Corporation to engage in platform software research and development.If it is not under the wave of big data, maybe Chen will continue to follow the path of research and development of tool software.

But now, various companies (including Intel) attach great importance to the big data industry, so it has also had a huge impact on Chen's career development path.Chen decided to take the big data platform as a direction for his future development.He said: "Whether it is in scientific theoretical research or product development, the popularity of big data and rapid technological change can meet my personal needs for new technology hobbies. In addition, from the perspective of career development, big data can also bring More opportunities. I have read a report that shows that big data-related positions occupy the top three high-paying rankings in the field of IT technology. Reflected, I believe that in the next few years, talents who can meet the development needs of this industry will get more and better development space.”

However, a grim reality is before us, how can we cultivate data analysis talents?First of all, in undergraduate courses, more emphasis is placed on the cultivation of the ability to analyze front-line actual data.It is very, very important to give enough attention to teaching.Because the undergraduate stage is an important stage for laying the foundation, if you want to cultivate data analysis talents, the teaching of data analysis ability is very important.In the stage of talent training, students must not be easily "fooled".

Secondly, business owners should pay attention to the supporting role of data analysis in business decision-making.Large enterprises should not stop at using statistical analysis software such as Excel, but should use more professional and accurate analysis software.In addition, advanced analysis methods and models can be introduced from abroad, and staff can be trained regularly, which can gradually improve the professional level of researchers.

In addition, the government should also formulate some incentive policies for high-level data analysts.In order to prevent the bad competition of "bad money driving out good money" in the talent market, the government should also implement scientific macro-control.

In the era of big data, data processing capabilities have taken a qualitative leap compared to a few years ago.But how to use these data in various industries and make correct decisions is the job of data analysis talents.

Although big data has blossomed everywhere in China, whether it can bear fruit depends on high-level data analysts.

☆Technical Status

The characteristics of big data itself are also the inevitable requirements of its technology to a certain extent.While processing massive amounts of data, the demand for data processing talents and technical requirements for data processing are equally important.The real value of big data technology lies in predicting future development, because its own advantages are analysis and prediction.The technical application of big data can be a certain enterprise or a certain industry.

The technical focus of big data lies in its application.In the future, big data strategies will be application-centric and benefit-oriented, and will be more used by governments and enterprises.

However, there is still a big gap at home and abroad in terms of the technical application of big data processing.Developed countries represented by the United States have begun to regard the utilization of big data and the development of big data technology as a strategic task of the country.my country's technical application of big data is still in the basic take-off stage.Moreover, as a developing country, my country's economy is in the stage of take-off, so it is very easy to be eager for success and have an impetuous mentality.If you want to make a very significant breakthrough in big data technology, you must develop applicable technology on the basis of a large number of applications, and first learn how to handle data applications well.

Our country also has special national conditions at the level of data technology application, which we have to take into account.On the bright side, the domestic big data market has broad demand, great potential for subsequent growth, and good investment prospects.However, the other side of it is that the crowd is huge and complex.Various policies, concepts, and historical factors must also be taken into account. Therefore, in summary, China is the most complex big data country in the world.

In the words of Tian Suning, Chairman of Broadband Capital, “China has always been a learner in all technological revolutions in modern history. In this new transformation of cloud computing and big data, the distance between China and the world is the smallest. It has the possibility of innovation and leadership.”

Big data has become an important resource that can be developed and utilized by human beings in the 21st century.Chen Jiachun, deputy director of the Communication Development Department of the Ministry of Industry and Information Technology, said: "my country's big data industry is also facing problems such as lack of talents, insufficient data resources, low degree of data openness, and imperfect relevant laws and regulations."

Facing such a complex environment of the times, domestic Internet companies must quickly find their position in this wave of data services, integrate and utilize fragmented data by various means, enhance their grasp of data structure, and increase Data relationality.This will become a significant trend of future industrial development.These data can only be realized on the basis of acquiring and integrating more user behaviors.For example, products and services such as cloud computing, various Trojan horses, cookies, etc. that we are familiar with.

Although these attempts are still in the basic stage, some changes at the hardware level are happening quietly.The technology at the hardware level is indispensable for the collection, storage and analysis of the data itself.

International IT companies have launched products for big data and embedded them in their own products and services, such as IBM, EMC, and HP.Domestic IT companies have also realized this problem, and began to increase research and development and investment in the data field on the basis of the original products, and also have preliminary products and solutions.

Specifically, there are two points that are very conducive to the leapfrog development of China's information industry.First, big data technology focuses on developing new resources, and this technology is open to any country.So far, no absolute technology monopoly has been formed, and Chinese companies can also share the cake.In the past few decades, China's information industry has been at the end of the industrial chain for a long time, earning low-end profits, and has always lagged behind foreign countries.Although the state vigorously supports technological innovation and even proposes innovation-driven development strategies, such as innovations in CPUs, operating systems, and office software, there are few successful cases.However, big data processing is an emerging field, and Chinese and foreign companies are almost on the same starting line.Therefore, some people in the industry said that, to a certain extent, the gap between China and foreign countries is only about 5 years if only considering big data processing technology in a narrow sense.

Second, due to China's large population and rapid economic growth, it is determined that the scale of China's data assets must be the highest in the world.The huge scale of data assets objectively provides a prerequisite for the development of big data technology.However, how to effectively use such a huge amount of data requires the cooperation of the government, academia, industry, and the capital market, so as to ensure the maximum openness of data assets, ensure national data security, and promote the associated application of data. The great value of data.

In fact, the current value and application of big data resources in our country, the phenomenon of "data separatism" and "data islands" are common in various places.The government, academia, industry and the capital market have yet to reach a consensus.In the final analysis, in addition to the lack of technology, the lack of deep understanding and understanding of big data and the lack of the concept of data openness are the key factors hindering the development of my country's big data technology in various industries.Therefore, the awareness and ability to open data is the most important point.In terms of data disclosure, the government representing the public interest should be the trendsetter and policy maker of data opening, not just individuals and companies.Judging from past network development, the future should be towards a new stage of integration, dynamics, sophistication and initiative.

Our country is in a new era of modernization development. In connection with the various problems it faces, if we want to realize the change from Made in China to Created in China and alleviate the challenges in education, transportation, medical care and other aspects, we must use big data as an innovative way to solve the problem. Solve problems, create new industry clusters, and make scientific predictions for the government.

Big data is actually a new industrial chain, and its expansion will form a large-scale basic industry.

Although the government and some industries have accumulated a large amount of data assets, many industries lack effective algorithms to fully tap the real value behind big data.

The big data industry chain includes: data technology industry, data collection industry, data processing industry, and data application industry.Every part of data processing can become an industry of considerable scale. The key lies in how to realize the transformation of informatization, which is related to the construction of the ecological chain in all fields of information, and is also crucial to the development of the big data industry.

In terms of big data landing applications, domestic manufacturers also have their own innovations.For example, IT software and hardware companies such as Digital China and Neusoft have seen the power of big data, and have begun to increase research and development and investment in the field of data based on the original business and products.Based on the cognition and accumulation of the data industry, Inspur adopts a new technical system architecture and launches the Yunhai big data all-in-one machine solution.

Although there is a clear gap between my country and foreign countries in terms of data processing and application, from the perspective of the future, as long as the government, Internet companies, IT companies or industry users embrace big data with an open mind and innovative courage, big In the data age, there must be opportunities belonging to China.

☆Cultural Status

What big data embodies is first of all a worldview, behind which is the power shown by our cultural thinking and the way we look at this new era.

Big data expert Victor Meyer Schoenberg explained in his related book that while cloud computing acquires massive amounts of data, it also brings data confusion, which brings troubles to traditional data analysis.

In the past, we were used to drawing concrete results from data.However, in the era of big data, attention should be paid to correlation rather than causation.Big data brings changes in the way of thinking for the acquisition of overall data.It pushes us to pay more attention to the connections between things.

Another important change brought about by big data is that more things can be digitized.For example, the trend of social hotspots can be digitized, shopping habits can be digitized, and social relationships can be digitized... In the future, our life will always have the analysis of various big data, which also requires each of us to Ability to analyze data.

There are many examples to see that the era of big data we live in can go further.When we analyze data, the analyzed samples change from partial data to overall data, and cloud computing can help us get all the analysis results we want; if you go to Taobao, log in to your Alipay account, and click on the electronic statement, you can see To your own consumption curve for a year; when you place an order for a book on Dangdang.com, it will remind that 30% of the people who bought this book also bought another book...all are based on the Analysis of big data.

These data can derive business potential, and can even lead to social trends.Such huge data analysis is simply impossible in the era of small data.

You may ask, can big data really get the most comprehensive information?Some companies have obtained a lot of data analysis results through the analysis of big data, and these results are incredible in our opinion.From these data, you may find that Scorpio men had the highest average consumption in 2012, and Shanghainese paid utility bills with Alipay the most frequently. The 7-11 convenience store analyzed the data of the retail terminal and obtained the correlation relationship that "the sales of warm babies will increase by 15% when the temperature is lower than 5 degrees Celsius".Therefore, as long as the temperature is lower than this degree, the warm babies in the store will be put on the shelves.

Of course, just as a coin has two sides, everything is a double-edged sword.We are in the era of big data, and we have to be keenly monitored by it all the time.If you think about it carefully, Amazon, Dangdang, and Taobao seem to be monitoring our shopping habits; Baidu and Google seem to be monitoring our web browsing habits; omniscient.

How to keep big data from invading our privacy boundaries is a question that needs to be seriously considered by each of us.

☆Current status of the enterprise

When the wave of big data has become an earth-shaking trend, when the worldwide data revolution is irreversible, are Chinese enterprises and entrepreneurs ready?
Ma Yun warned Chinese entrepreneurs in his resignation speech: "When everyone has not figured out the PC era, the mobile Internet has come; when the mobile Internet has not been figured out, the big data era has come."

The same as my purpose of writing this book, Ma Yun is reminding the public and decision-making elites in China: the era of big data has really come.This is not some "cry wolf" story, but a fact.

Questions have been thrown at our businesses.

(End of this chapter)