Shulou(Shulou.com)06/03 Report--

Big data's value evaluation needs to be comprehensively evaluated from social benefits, enterprise benefits, personal benefits and product benefits. For example, the collision of financial data and e-commerce data produces Internet finance such as microfinance; the encounter of telecommunications data and government data can produce demographic value. help cities plan places where people live, work and play; financial data and medical data together can be found to cheat insurance Logistics data and e-commerce data together, we can understand the operation of each economic sub-domain and so on.

It can be seen that only by opening up the data, that is, allowing data in different fields to really flow and integrate, can we finally release the real value of big data.

Three Dimensions of data openness

1. Data opening in a narrow sense

In a narrow sense, the main body of data is the government and scientific research institutions, that is, the disclosure of non-secret government data and scientific research data. But data openness does not mean information disclosure. Data is not equal to information, the connotation of information extracted from the data. And data opening should be a kind of active and free opening, rather than "application information disclosure" which is often discussed.

2. The opening of big data's infrastructure

With big data thinking, enterprises will want to speed up the construction of the platform and invest in related hardware and software. But how to store, process and integrate the cloud is a challenge for enterprises. Therefore, the opening of basic settings is very important for many small and medium-sized enterprises who are unable to build their own platform. Some companies with large platforms, such as Google and Amazon, have begun to actively try, such as providing basic data processing and analysis platforms.

3. The opening of value mining ability.

When we are mining data, the most important thing is to reflect its value in the business. But big data has very obvious two sides, some big data is very important and valuable, but most of the discrete data is useless. This makes mining big data on the one hand can produce high value, but it may also bring a heavy burden to the enterprise.

Therefore, the ability of open value mining is very important to reduce the threshold of data applications. Make the data value civilian and market-oriented.

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