Big data era not all businesses can share

Published: 2014-08-05 Updated: 2014-08-05 Source: Network Author: zhouey

In the era of big data, domestic enterprises began to spring up mushrooming case studies of big data: Yili Dairy using terminal management technology, aggregate retail terminal store sales brought scattered data, so that sales plans no longer rely on racking our brains to complete; Shandong Province, a number of "big data" as a tag tourism website, according to the previous purchase of tourists behavior for different tourists to provide targeted services; domestic high-tech companies with the side Co., Ltd. is planning to set up large data research A special department ...

So many businesses vying for Big Data are proof that big data is suitable for all businesses. I do not think so. Not on the big data From the actual business conditions and specific needs, companies only have personnel training, capital investment, technology platforms and other comprehensive protection in order to obtain data value.

First, the development of data analysts is paramount. "Big data speculation has peaked," Big Data Bubble's existence is not exaggerated because of the role of data, but rather the true power of analytics, leaving few big data to work better. "With the data resources business Deputy Minister Zhuang Hua said in an interview. Harvard Business Review argues that data analysts are "the sexiest career in the 21st century," the temptation of massive amounts of data, and the sheer volume of skill demands that make data analysts a shortage. "With the side shares of the special big data plan, in addition to capital investment, the more crucial is to train personnel and foster the development of big data industry." Xi Zhuang Hua said.

Financial, medical and other fields implanted big data, complex talents is even more indispensable. Wei Yu, a member of the Chinese Academy of Engineering, once said that the introduction of biomedicine into big data is imperative to solve the problem of the lack of compound talents with a common biomedicine and information science.

Second, big data is really expensive, and companies have to decide whether to invest big data. It is understood that Facebook stores about 100TB of user data every day; NASA every day to deal with about 24TB of data. Behind the Amazing Data High Costs According to Amazon Redshift pricing, NASA needs to pay over $ 1 million for its 45-day data storage service.

I have interviewed several CIOs of enterprises, most of whom said that the daily data they need to process is not huge, and the cost of data storage and processing is too high to bear the cost of big data deployment according to their budget.

Finally, if big data is applied, enterprises should choose a mature big data platform and have high-performance connections with data warehouses. This will make it easy for different personnel to apply them and allow technicians to use the platform to rapidly increase the value of data according to business needs. This is the "big head" that an enterprise needs capital and technical input, and it is also a place where an enterprise can do its homework.

Big data is good at icing on the cake instead of timely assistance, if the business did not do well, do not expect big data can help. As Xi Zhuanghua told reporters, only enterprises that value the technology platform, appropriately invest funds and can attract outstanding data analysis talents can gain gains in the big data era.