What is data sensitivity? How to improve?

Data sensitivity refers to the ability to identify some data and see some problems or information that others are not aware of.

Every industry has its own data, so these sensitivities are also related to these different data.

For example, a person in charge of finance can know the general situation of the enterprise by reading the financial statements, and know whether the enterprise is a growth enterprise, a recession enterprise, a healthy enterprise or an unhealthy enterprise, a research and development enterprise or a production enterprise. This is the sensitivity of data. For people without financial knowledge, you can't see this.

Of course, the data mentioned here is not only numbers, but also text information. For example, a red brick production enterprise saw the corresponding environmental protection policy of the government and realized that the price of red bricks would rise, so it increased the inventory of raw materials, accelerated the production pace and produced a large number of red bricks. After that, the price advantage and competitive advantage came up, and you can make a lot of money.

If this enterprise has no long-term vision, no ability to analyze government policies, and no corresponding data sensitivity, then it will not make this money.

It is not difficult to see that the improvement of data sensitivity requires an understanding of the knowledge and derivative knowledge of one's own industry and continuous learning of one's own professional ability. Then naturally your sensitivity comes.

I hope I can help you.