Disadvantages of traditional big data research data

Big data refers to a collection of data that cannot be captured, managed and processed by conventional software tools within a certain time range. It is a massive, high-growth and diversified information asset, which needs a new processing mode to have stronger decision-making, insight and discovery, and process optimization ability.

5V characteristics of big data (proposed by IBM): volume (mass), speed (high speed), diversity (diversity), value (low value density) and authenticity.

Big data is more about analyzing the past, reminding the present and looking forward to the future. Widely used in the commercial field, in order to achieve accurate marketing, predict trends, and achieve the best and greatest commercial interests. The embodied values are:

(1) Use big data to accurately provide products or services for the consumption habits of a large number of consumers;

(2) Transform services with big data and make a small and beautiful model;

(3) Enterprises that can't make full use of the value of big data will be teetering under the pressure of the Internet.

Combining big data with high-performance analysis, the country means more efficiency improvement and can also reduce the country's operating costs. For example:

(1) Plan real-time traffic routes for thousands of vehicles to avoid congestion;

(2) Analyzing the root causes of problems and defects in time is to improve the system.

(3) Using clickstream analysis and data mining to avoid fraud.

Defects of big data:

Enterprises are attacked by hackers, and a large amount of customer information flows out illegally, and then big data is used for analysis and mining to classify and exclude people, thus making people more likely to be deceived.

Extended data:

16, 17 In March, the Outline of the Thirteenth Five-Year Plan for National Economic and Social Development of the People's Republic of China was released, in which Chapter 27, "Implementing the National Big Data Strategy", proposed: take big data as a basic strategic resource, fully implement actions to promote the development of big data, accelerate the open development and application of data resources, and help industrial transformation and upgrading and social governance.

Specifically, it includes: accelerating the opening and sharing of government data and promoting the healthy development of the big data industry.

References:

Baidu Encyclopedia-Big Data