The position of data analytics can be said to be very broad and complex, from data information entry clerk industry analyst can be considered as data analytics expert, even some data mining, artificial intelligence can be included in the scope of data analytics, but these jobs do very different things, of course, the salary is also very different. So when everyone is applying for a job, it's important to not just look at the job title, but to clearly see the duties and requirements of the job.

The big data information storm has brought unprecedented changes to the way human beings live, work and think, and a new, major change in business, thinking and management is quietly underway. In the era of big data, data has become an important factor of production, permeating all walks of life.

In the process of promoting the application of big data, enterprises mainly face the following three difficulties. One is lack of understanding. Many people don't know what big data is, so they don't know how to use big data tools properly. The second is the lack of investment, the application of big data may require considerable investment, which may be difficult for the average enterprise to afford; third, the shortage of big data talent will constrain the development of big data application.

The lack of big data-related talent will become an important factor affecting the development of the big data market.Gartner predicts that by 2015, there will be 4.4 million new big data-related jobs around the world, and 25 percent of companies will add chief data officer positions. Big data-related positions require composite talents with comprehensive knowledge of math, statistics, data analysis, machine learning and natural language processing. There will also be a shortage of about 1 million talents in the field of big data in the future, which needs to be cultivated and tapped by the society, colleges and universities, and enterprises at the same ****.

To successfully utilize large amounts of information, companies need people with these skills. These people know how to manage data, build analytics and help interpret it. In the field of big data, we will probably hear a lot of fancy names like CDO (Chief Data Officer), Data Scientist or Chief Data Engineer, Architect, etc. in the near future. Data is becoming more and more important to organizations and is gradually becoming part of their core competitiveness. Enterprises are not only concerned about the data itself, but also the value of the data and its impact on the organization.

About how the market status of data analytics industry is, Qingteng Xiaobian will share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to know more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.