Nowadays, data analysis becomes more and more popular in the world. Due to the development of modern technology, data analysis can be basically a comprehensive analysis of the company’s data, and it could achieve with no deviation. The future of data analysis and the reasons why we should learn data analysis become the most interesting questions in the society.
Zimmermann (2018) mentioned that there will be more automation and more collaboration, driving transformation for every industry in the areas of engineering and manufacturing. Because of the lack of technologists, the world can not relate together. So that there was a huge difference between developing countries and developed countries. However, during the Internet and the data analysis, every company could compare themselves with other rival companies. The most important is it could provide a better customer experience and a new business model.
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What’s more, according to Parmar (2017), it shows that the reason why data analysis is the best career move. One of the most important reasons is that data analytics is easy to start for someone who have known nothing with it. They will make it easier and interesting for you to learn languages that are in demand and to specialize with time. Also, Thomas Kang (2017) shows that the government need data analysis to collect the a widely information of the whole country. For example, the government should collect all the information of when children will be hungry and why, as well as find a data-driven solution. Therefore, it is convenient for government to analyze the information.
In addition, Dr. Lynn Wu (2019) recently posted a research and paper ‘Data Analytic Supports Decentralized Innovation’ on how different organizational structure influence the use of data analytics to spur innovation. There are many good examples of the ways in which data analytics can help fuel innovation. For example, we already seen that Watson culling of IBM could find a bunch of literature in digital records and find the useful information in two months, but it will cost researchers years to find. So, we notice that lots of data analytics creating many cool innovations around us. Dr. Wu also provided some good examples of the innovations that we are all aware of, but recently, human spend more money create new things and still have a decline of the rate of innovation. What this report also talks is that analytics is really great at finding these linkages or hidden patterns that we may not easily observe by mining through a ton of data. The famous Nobel laureate Bob Solow said that we see computers everywhere, but not in productivity statistics. We should become more creative and professional in data analysis. About will it pay off for firms to move forwards a more decentralized innovation structure as data analytics become more common, Dr. Wu said that it depends on what your innovation goals are. We could combine existing technologies in a new way or reuses technology to a different domain to solve the problems. It is difficult to create a big data, but it also unnecessarily to create the technology using big data.
In conclusion, data analysis is a potential for modern society. Because it will have a great improvement in the future, there are more people tend to learning data analysis for their college major. It will bring us a huge profit in the future. Through the improvement of human being, I believe that we will have a huge step in data analysis in the future.
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