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Analysis methods in the era of big data include
In the era of globalization 4.0, it is wrong to adopt random analysis method (sampling survey) for new technology big data.

First, data analysis methods in the era of globalization 4.0

1, artificial intelligence: through deep learning, natural language processing and other technologies, the rapid processing and in-depth analysis of big data are realized.

2. Data mining: by establishing a data model, automatically identify data rules that can be used for analysis and predict future development trends.

3. Augmented reality: Combining virtual data with real scenes can realize real-time rapid data analysis and decision support.

Second, technological innovation.

1 and the application of 5G technology: The rapid response and real-time analysis of big data can be realized through the high-speed transmission and low-delay characteristics of 5G technology.

2. Blockchain technology: The credibility and security of big data are guaranteed through the decentralization, tamper resistance and security of blockchain technology.

3. Internet of Things technology: Through the intelligent perception and interconnection characteristics of Internet of Things technology, more accurate big data collection and monitoring can be realized.

Third, misunderstanding.

1, "Big data must be good data": In fact, big data is only the scale of data, and does not necessarily represent the quality and value of data.

2. "Algorithm is the best tool": Although the algorithm is an important tool for data processing, it needs to be combined with various factors such as business situation and manual judgment in the specific application process.

3. "Data is fact": Data is only an objective record, and the meaning and trend behind it need to be qualitatively judged by combining business analysis and actual situation.