Li Shuyan: Big Data revolution

"Sadie Network" who can still stay out of the big data? Cloud computing, mobile Internet and IoT and other new http://www.aliyun.com/zixun/aggregation/14054.html "> Information Technology rapid Development, the level of social informatization greatly improved , global data is roaring at an unprecedented rate of growth. How do I lay out a large data strategy? How to make use of large data making decisions? Is it the big data-goers or the victims of the data tsunami? The government and enterprises are widely concerned.

The big data is hailed as the "wisdom Treasure" of enterprise decision. Faced with the uncertainty and unpredictability caused by large data, the enterprise decision-making and operation mode is changing, the traditional top-down, relying on the experience and judgment of the minority elite is fading, a bottom-up, relying on data insights of the socialization of decision-making model rising.

Big data is hailed as the four paradigm of scientific research. After the paradigm of experimental induction, model deduction and computer simulation, data intensive scientific research based on large data is separated from the computer simulation paradigm and becomes a new scientific research paradigm. The large data paradigm characterized by full sample, fuzzy calculation and heavy correlation has not only promoted the change of scientific research mode, but also promoted the great change of human thinking mode.

The big data is hailed as "the new oil of the 21st century". According to U.S. research institutions, large data can bring the U.S. medical services industry 300 billion of dollars a year value, the European public management of the annual value of 250 billion euros, helping the U.S. retail industry to raise 60% net profit, helping the U.S. manufacturing sector reduce the cost of 50% of product development, assembly costs.

It is obvious that large data applications are expanding from the enterprise domain to the social realm, and are going up to the national strategic level, and the industry with good information base becomes the first beneficiary of large data application.