What are the characteristics of big data thinking?

The characteristics of big data thinking: 1. Overall thinking; 2. Open and inclusive thinking; 3. Quality service thinking; 4. Learning trend thinking; 5. Cost control thinking; 6. Creative thinking.

Characteristics of big data thinking:

1. Overall thinking

Big data research The target is all samples, rather than sampled data, and focuses on the mainstream in the sample, rather than individuals. This requires application personnel to have overall and overall thinking.

2. Open and inclusive thinking

Data sharing and information disclosure not only share resources, but also release goodwill, gain mutual trust, and generate cooperation based on data exchange. This It will break the traditional isolation and monopoly and form an open, sharing and cooperative thinking. Big data not only pays attention to the causal relationship of data, but also focuses on correlation, increasing the frequency of data collection, relaxing the accuracy of data, increasing the fault tolerance rate, looking at problems with probability, and strengthening people's inclusive thinking.

3. High-quality service thinking

The Internet has accumulated a large amount of customer data through free basic services. From an economic point of view, all free services are unsustainable. This requires big data users to have the ability to mine data, change the basis of value generation and new values ​​in the value chain, and achieve sustainable development with better services and improved monetization capabilities.

4. Learning trend thinking

Studying the correlation of data makes it easier for people to discover the patterns of things in advance and predict the trend of the progress of things. Big data is caused by successful predictions. of widespread concern.

5. Cost control thinking

In the original social governance model, social resources were allocated in increments, institutions and personnel continued to expand, and costs continued to increase. Big data allows the stock of social resources to be accurately allocated and used efficiently, avoiding uneven busyness and leisure, and social governance changes from labor-intensive to technology-based dynamic scheduling.

6. Creative thinking

Creative thinking is one of the characteristics of big data thinking. It breaks through the original framework through the reorganization, expansion and reuse of data. , explore new fields, establish new decisions, and discover the value of data hidden under the surface. Data has also creatively become a reusable "renewable" resource.

Historical changes began with the transformation of the way of thinking driven by production tools. When the old economic system and traditional concepts are faced with new thinking logic, if they cannot keep pace with the times, absorb and transform into If we follow the trend of new thinking and reorganize the strategies, structures, cultures and strategies of society, countries, and enterprises through new thinking, then the seemingly strong society will actually become a resistance to the progress of history. As the latest production tool, big data will become a sharp tool for governing the country, which can realize the modernization of governance concepts, tools, and goals, and provide a strong impetus for promoting the modernization of the national governance system and governance capabilities.

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