After the teachers have excavated a large amount of data from the school, the next step is to analyze the data results and find out the problems existing in students' learning and teachers' teaching. Teachers in the data age should not only be able to teach, but also have a strong sense of research. In the teaching process, digital tools are used to record students' behaviors, digital technology is used to record the teaching process, and analysis, coding and data analysis are carried out, which is conducive to the cultivation of teachers' data wisdom. In the process of analyzing the data results, teachers should strengthen cooperation, and make teaching adjustments and appropriate teaching decisions according to the problems reflected by the data analysis results. Traditional teaching decisions are too dependent on experience and lack of data support. Data-based education decisions are one of the solutions to this deficiency. However, data-based educational decision-making can not only improve the teaching quality, but also be applied in many links of the whole educational process. For example, the data analysis results in schools show that many students in schools do not develop good reading habits, and there are different degrees of reading disabilities in different grades. Schools and teachers should pay attention to the development of students' reading habits from different levels of specific grades, make appropriate curriculum adjustments and teaching improvements, increase reading courses, extend reading time, and pay attention to students' reading together with home and school. At the same time, teachers need to find the common learning problems of students in the teaching process through the cooperation among teachers to analyze the data obtained, so as to use data to improve teaching practice.
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