Security real test Big data age

In the past 2012, the concept of "big data" has suddenly been popular in the business world. But on the other hand, big data also raises the concern that businesses using these vast amounts of information will not cause consumer information to leak.

December 28, 2012, the 30th meeting of the NPC Standing Committee considered the adoption of a draft decision on strengthening the protection of network information. With regard to the protection of personal information, the draft decision clarified an important principle, namely, that national protection could identify the personal identity of citizens and electronic information relating to the personal privacy of citizens. At the same time, the draft also provides a number of provisions for the obligations of individual information collectors. The draft decision is springtime for the "big Data" that has been hotly discussed over the past year.

What is the value of big data?

In the world's top 500 enterprises, more than 90% of the important investment and management decisions are based on adequate data analysis support. China Business Federation Data Analysis Professional Committee president Song that large data at all times affect the enterprise's overall operation chain management, from the front-end management, to the back-end suppliers, logistics and so on have been profoundly changed and affected.

On March 29, 2012, the U.S. government announced an investment of 200 million dollars to boost the development of large data-related industries and to increase the "Big data Strategy" to the national will.

Liu Jianjue, vice president of China Business Federation, said that with the rapid development of the Internet, China's E-commerce enterprises have formed a data analysis department. How big is the market for big data? Zhang Yongli, Ph. D., of the China Institute of Economic Management at the Central University of Finance and Economics, said that the foreign big data industry has a market of about $100 billion trillion and is growing at 10% a year, twice times faster than the software industry.

It is reported that, in order to meet the arrival of large data, October 2011, the Ministry of Information to confirm Beijing, Shanghai, Hangzhou and other 5 cities as "cloud computing Center" pilot City. The real problem may not be how to build a "cloud computing center". Dupin, executive vice director of the National Information Center, said: "The arrival of large data requires continuous infrastructure, but what is built, some data needs to be stored, and many data may not need to be stored." ”

In fact, at present, enterprises do not have the ability to dig out the value of data, storage of large amounts of data, large-scale investment construction, there is a "waste" suspicion.

Data authenticity and security test

Song admits that the big data industry is still in the race, industry chaos is inevitable. He said that false qualifications, service is not standardized, quality control is not strict and so is the main problem in this industry.

The real test of the industry comes from the authenticity of the data, Wang, deputy director of the China Reform Foundation's National Economic Research Institute. Wang said that the basis of data analysis should first be accurate basic data, "for example, data analysis is like a rice pot cooking, the quality of rice may have a decisive impact on the meal." ”

Song introduced that in the collection, collation, storage, transmission process, a lot of human factors, there may be some so-called "ugly" data is discarded. Furthermore, some data may be tampered with in this process.

In addition to the collection of internal data is prone to distortion problem, the use of external data is also difficult to distinguish. Song pointed out that these external data is mostly through open channels or commercial channels to obtain data, on the one hand is difficult to distinguish between authenticity, on the other hand, these data are statistical analysis of the processing after the presentation, if copied, often will cause errors.

With the advent of the large data age, personal data security has been a social concern, from the password leaked to the suspected malicious collection of user privacy, data security challenges the relevant industry's business ethics bottom line. Song Frankly, "big data" will certainly involve the user information, even the relative privacy data analysis problem.

From "Big Data" to "big analysis"

The improvement of large data storage technology causes the whole social data to begin to increase exponentially, but the data itself can not bring value, its real value lies in its accurate analysis. As Zhaoxing, director of the data center of the China Business Federation data Analysis Professional Committee, large data age, the data is the future development of the "Treasury", "but if the enterprise is simply to store data, rather than analysis of data, as soon as possible mining ' gold ' in the ' vault ', it may still die halfway." ”

From "Big Data" to "big analysis", Zhaoxing that, in addition to avoid blind construction, domestic enterprises to avoid such a misunderstanding, is to put a large amount of money into the visible computer hardware and software, and often unwilling to invest in "people", " Now the talent market can be competent data depth analysis and excavation of the talent is rare, even if it can be found, is ' expensive ', may not be able to retain. So enterprises need to focus on training this talent. ”

To realize the transformation from "Big data" to "big analysis", the authenticity of data is the prerequisite, and the security of data is the lifeblood of development. How to ensure the authenticity of the data? Wang that the wisdom of the analyst needs to be fully exploited to question the nature of the phenomenon.

(Responsible editor: The good of the Legacy)