What is big data analysis? What are the advantages and disadvantages? Advantages and disadvantages of big data

Data analysis refers to the use of appropriate statistical analysis methods to analyze, summarize, understand and digest a large number of collected data, so as to maximize the function of data and give full play to the role of data. Data analysis is a process of studying and summarizing data in detail to extract useful information and form conclusions.

Advantages of big data analysis: it can prepare reliable information, which is helpful for enterprise development and finds its own direction;

Disadvantages: information is transparent, and big data knows yourself better than you.

Advantages of big data:

(1) Analyzing the root causes of faults, problems and defects in time may save enterprises billions of dollars every year.

(2) Plan real-time traffic routes for thousands of express vehicles to avoid congestion.

(3) Analyze all SKUs and make pricing and clearance with the goal of maximizing profits.

(4) Push the preferential information that the customer may be interested in according to his buying habits.

(5) Quickly identify gold medal customers from a large number of customers.

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

Defects of big data:

At present, most enterprises in China are facing many challenges in data infrastructure and data analysis. According to the survey of industrial information network, the system architecture of most domestic enterprises has some defects when dealing with a large amount of data, such as poor scalability, low resource utilization, complex application deployment, high operating cost and high energy consumption.