New darling of the workplace! Big companies scramble for "big data Analysts"

Source: Internet
Author: User
Keywords nbsp. large data industry

The Harvard Business Review has written that "data scientist data scientist" is the sexiest career of the 21st century. " The United States defines big data as "the new oil of the future" as another "national core asset". More than 90% of the world's top 500 enterprise decisions are based on in-depth data mining and analysis, but in each industry to actively turn to business e-commerce, many companies do not know how to operate the brand, in the vast network of the sea lost! Many marketing activities or advertising can not immediately see profits, operators to immediately make the decision to promote products or brands, they must rely on "data" to judge! Most of the data came from within the station, and it was difficult to get out of the station, and Nielsen was unable to master real-time data. Smartm has been in the "Big data representative decision, the advent of the era of the National electric business!" The article explains why data is so important.

1. Big Data represents decision making. Departments to get the data can make decisions, such as eagleeye data analysis platform, the marketing department on the platform to see the hottest sale of a product, the decision on the page in the most conspicuous place to let the product exposure. The application of appropriate decision-making will affect the rate of return on investment.

2. Big data represents profit. Numbers can save businesses money, make money, make the right decisions with big data, and get rid of the dead end of cheap competition.

3. Big data represents commercial assets. By large data to predict the future, can bring new business opportunities. New business opportunities and the new commercial model is the company's assets, but also the future with other enterprises a higher bargaining chip.

graph, "data scientist" work demand trend

Pictures: indeed.com

Big Data talent, all industries are missing!

The important value of large data is becoming more and more prominent, and it is recognized by more and more countries and enterprises, and it is driven by strategic heights. Many industries already billion is important to large data, such as many financial institutions use "data database" in the market to seek commercial benefits, Taobao, Jingdong Mall and other e-commerce sites use data mining technology to push product information, the discovery of potential consumer customers. The science and technology industry utilizes large data to launch strategic plans and to rationalize, construct and transform IT infrastructure. The industry is short of big data professionals, the past very unpopular data analysts, in recent years as the retail industry, technology industry, media industry, and even the financial industry to hire a favorite, have to find or train this kind of ability by the network, machines, mobile phones, to retrieve and analyze a lot of data experts!

From the number of recruits, you can see that the industry needs to be in a hurry to the extent, in the levy site 104 and social networking site LinkedIn, input "data analysis", "data analyst", "data scientist" and other keywords, currently totals about at least 230,000 " Data analyst "Related job shortage (the following table), the talent gap is very big!" But the big data talent training is not easy, different countries network development is not very similar, have their own development trajectory, it is difficult to reproduce foreign experience for talent training, must rely on the first line of relevant industries to pass experience.

industry know-how, use data analysis tools

Red Gate Interactive founder Zhang Yuanyu said that the internet era everywhere is data, but to be able to collate data, and cobwebs see the meaning of the data, this is quite difficult. In the era of lack of large data talents, Zhang Yuanyu that the ideal large data talent must first have a profound industrial know-how, to be sensitive to the digital, from a pile of numbers to find the relevance, and rake comb to organize their own views, and finally must be able to use data analysis tools or platforms, Step by step, we can develop the sensitivity of digital and analyze the integration ability. At present, Taiwan's only "eagleeye data analysis platform, Eagle Eye data" can be used to spy big data, into large data, from the use of tools to start! "

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