What kind of talent do we need most in the age of data processing?

In today's world, it is moving from data processing era to large data processing era. This year, the "Big Data" first appeared in the government's work report, which shows that our awareness of the importance of big data has risen to the national level.

Like the advent of the Internet, big data is not only a revolution in information technology, it is changing people's lives and the way we understand the world, and become an important source of more new inventions and new services.

When the big data processing era arrives, what opportunities will the Chinese talent team bring? What kind of challenges? Who will be the hottest person in the future? Let's take a look at this

"Everyone can be a success" will become a reality

Journalist: What's the use of big data?

Wujiang: The most important function of large data is that it can accurately predict some uncertain things in the future. For example, in 2008, a Google research team used a huge amount of personal search terms collected online to predict a swine flu outbreak two weeks before government epidemiologists. Such things in the past is unthinkable, master the big data, Google did.

Large data waves, for the first time in history, humans have the opportunity to use data to form a complete description of a thing. With the increasing ability of data analysis, human beings can effectively realize the prediction of the future. Large data can help people improve the level of management of the whole society, for the field of talent management, but also ushered in a new step to a good opportunity.

Journalist: What is the most direct impact of large data on talent work?

Wujiang: Small Data age, the data in the hands of the elite, large data age, the data in the hands of the people. The openness and transparency of large data can promote the development of social change, and the greater significance is that everyone can make rational choices about their future by analyzing large data. The data age, "Everyone can be useful", will move from the concept to reality.

"A new round of brain drain" to avoid

Reporter: What impact does big data have on global industry?

Wujiang: Like the advent of the Internet, large data is not only a revolution in the field of information technology, it will start transparent government, accelerate enterprise innovation and lead social change in the world.

A management consultancy, known as "Essen", surveyed 600 Anglo-American companies last year that 33% of respondents said they were actively using big data across the enterprise. 68% of companies believe that their own executive teams, as a whole, can participate in and support the deployment of data analysis methods and make decisions based on factual circumstances. Two-thirds of companies have appointed executives responsible for data management and analysis in the previous 18 months, and 71% of other companies are preparing to appoint such executives.

GE was aware of the rare opportunity of big data earlier and took action. GE is starting to invest 1.5 billion of dollars in the San Francisco Bay Area, creating a global software and analysis center that employs at least 400 data scientists and now has 180 downfield.

A survey conducted last year by "Essen Zhe", which examined the demand for data analysts in the US, China, India, Britain, Japan, Brazil and Singapore, saw a net shortage of competent data analysis scientists by 2015. China also appears to have a small surplus.

Journalist: Why is there no shortage in China?

Wujiang: Because of insufficient demand. When there is demand, there is a sense of urgency. Neither our government nor our companies are concerned about this issue. Do our businesses really need big data people? Of course not, but we are not aware of the seriousness of the problem. Large data age for development, enterprises, Governments must first clear the position of large data executives, no post how can we keep the talent, Rob Talent is not.

According to "Essen Zhe" published data, the U.S. new data analysis of the number of senior executives will occupy 44% of the world, but the United States can only provide 23%, there will be 32,000 people's talent gap. What about the shortfall? The United States is bound to be a world-wide snare. Just as on the surface, China currently has a surplus of such talents, and the danger of a new round of brain drain is hard to avoid. But if China continues to send such talent to the United States, the international competition in the big data age will be outdated.

I think, from the central to the local must pay attention to the construction of large data personnel, from the foundation, improve the position set, in training, retain talent, but also actively to attract relevant talent around the world.

"Chief information officer" needs to be set up

Reporter: China in the big data age, what kind of talent is needed most?

Wujiang: Now there is an illusion, a big data era, that we need the most data technology personnel, such as computer talent and math engineering talent.

We really need data technology talent, but the people who really can help governments and businesses change their minds and deal with big data challenges are not technical experts from the IT department, but senior managers of governments and businesses. I think that for the present China, the need for large data management personnel needs to exceed the urgency of the demand for technical personnel.

Government and enterprise leaders should also consciously change their ways of thinking and learn to think, speak and manage with data. In this rapidly changing society, the past experience may even become the bondage of the present. For example, we often hear managers complaining about the difficulty of a "bad" employee, because past incentives don't work for them. This is also reflected in the Chinese enterprises to go abroad. Many people find it very bad to communicate with their superiors, colleagues and subordinates because they grow up in different cultures. Managers need to constantly update their databases, learn how to use large data, and find the right solution at any time.

Reporter: The formation of large data management talent team, where to cut?

Wujiang: First of all to set up a special data management positions, into decision-making levels, to promote all units to meet the arrival of large data era. I have submitted a number of successive proposals on the establishment of the government's CIO system, recommending that international practice be used to form a CIO's office at all levels of government and its departments, headed by the Chief Information Officer and directly accountable to the government or departmental executive heads. Their position must be a matrix structure, in the central has a dedicated leadership, to promote the formation of national-level databases and data platforms, personnel to regularly communicate in order to fully grasp the data, to eliminate the island of information.

The foothold of the government Chief Information Officer system is to serve the whole country and avoid whitewash for a unit. This year I have again submitted a proposal on this subject, which must be of great concern. (newspaper reporter Rochou)

Voice

Former president of Tsinghua University Binglin member:

The arrival of large data age is the result of data accumulation from quantitative change to qualitative change. Large data talent before we do not, higher education in the future should be incumbent on the first to make adjustments, ahead of the talent reserve.

Gan Yong, deputy dean of Chinese Academy of Engineering:

The establishment of national large data platform will directly make innovation activities to reduce costs, less detours, shorten the research and development cycle, and promote scientific research personnel to obtain some innovative results quickly.

Wang Wenxue, Chairman of China Happiness Foundation:

There is no big data platform for senior talent. Who can build up the big Data system as soon as possible, who can occupy the active position in the new round of talent war.

Millet Technology Chairman Lei Representative:

The Government should fully understand the importance and strategic position of large data, establish large data training mechanism in universities and scientific research institutions, fund or set up special fund to support the research of key technologies of large data.

Representative of Wang Xuetiu, director of the key Laboratory of Geochemical Exploration Technology, Ministry of Land and Resources:

Large data age talent can be in any corner of the world, he can for any company in the world, talent internationalization will open all-round, the talent war will be more intense than ever before.

Shikerong, vice president of Langfang, Hebei province

As the foundation of future competition, large data talents will change the way of enterprise decision, value creation and value realization, grasp customer demand accurately, and win new market and competitive advantage for enterprises.

Link

Hot jobs in the big data age

Data planner

Before a product design, it provides the key data support for the enterprise's decision-making, realizes the maximization of the enterprise's data value, implements the differentiated competition better, and helps the enterprise gain the opportunity in the competition.

Data engineer

Designers, builders, and managers of large data infrastructures who develop architectures that can analyze and provide data according to the needs of the enterprise. Their architecture also ensures that the system works smoothly.

Data architect

Good at dealing with scattered data, all kinds of irrelevant data, proficient in statistical methods, can obtain raw data through the monitoring system, and interpret the data statistically.

Data Analyst

The responsibility is to transform data into information that the enterprise can use by analyzing it. They find the problem through the data, pinpoint the cause of the problem, and find the key point for the next step of improvement.

Data Application Division

Restore data to a product for use by the product. They can express the information of the data in the language which the ordinary people can understand, and push the enterprise to make the adjustment according to the data analysis conclusion.

Data scientists

Leaders in large data, with multiple interdisciplinary and business skills, can transform data and technology into business value. (Rochou, Wang Ne finishing)