1, using all the data, not just relying on some data, that is, not random samples, but all the data.

2. Only when the acceptance is inaccurate will there be a chance to open a new window of the world, that is, it is not accurate, but hybrid.

3. Not everything should know the reason behind the phenomenon, but let the data "speak" itself, that is, it is not causality, but correlation.

In the era of big data, we need new processing modes, stronger decision-making, insight and process optimization, and massive, high-growth and diversified information assets.

The strategic significance of big data technology lies not in mastering huge data information, but in specialized processing of these meaningful data. In other words, if big data is compared to an industry, then the key to the profitability of this industry lies in improving the "processing ability" of data and realizing the "value-added" of data through "processing".