Global Data analysis: 75% of companies doing data analysis
Source: Internet
Author: User
KeywordsLarge data work large data analysis
&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; There is a lot of discussion about big data now. IBM's Business Value Research Institute and Stanford University's SID Business School have done a research report on the world's largest data. Interviewed the heads of more than 1100 large enterprises and institutions around the world. From this research report, there are many interesting discoveries.
Of the respondents, 63% per cent of respondents made it clear that large data analysis was an essential tool for the entire production process and link, compared with 37% in 2010.
Is big data really the work that companies and institutions are doing? Through the global research report, we found that 75% of the companies and agencies surveyed made it clear that they were already working on the analysis of the data. Large data is a highly business value driven business proposition, so in these 75% of enterprises and institutions, 47% of customers and institutions are conducting large data exploration.
In the process of large data exploration, the development of large data strategy is often the first, many enterprises and institutions in the process of large data start, often need to large data as a strategic level of things, in enterprises and institutions within a definition. After defining a large data strategy, you often have to define the entire large data business blueprint. And the work is very important and more challenging. Once the commercial blueprint and the business scenario for large data are defined, a lot of production practice will be done.
The survey also found that 75% of customers around the world have moved on to big data, and a large part of their large data projects are related to customers. 49% of the projects are based on large data related to the complete analysis of data, in order to serve the object, have a deeper understanding. Because only a deeper, more accurate understanding and classification of customers will find new business value and business opportunities.
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