What are the four big data thinking?

Big data thinking includes the following four aspects: 1. Data-driven: Big data thinking emphasizes data-based decision-making and analysis. By collecting, storing and analyzing a large amount of data, it gains insight and discovers hidden patterns and trends. 2. Real-time: Big data thinking focuses on the processing and analysis of real-time data in order to make timely decisions and adjust strategies. Real-time data can help enterprises better cope with market changes and customer needs. 3. Multi-source data integration: Big data thinking emphasizes the ability to integrate multiple data sources, including structured data and unstructured data, in order to obtain more comprehensive and accurate information. These data sources can include internal data, external market data, social media data and so on. 4. Data insight and prediction: Big data thinking focuses on gaining insight through data analysis and mining, and predicting future trends and behaviors. Through the analysis of big data, enterprises can better understand customer needs, market trends and competitors' dynamics, so as to make more informed decisions.