Method for improve hotel operation data

The methods to improve hotel operation data are as follows:

1, comparative analysis method.

It is an analytical method to reflect the differences between the two in the form of comparison, so as to understand the internal laws of the data. The biggest feature of comparative analysis is to accurately and quantitatively show the differences between comparative data and improve them.

2. Subdivision analysis method.

Divide the whole data into several data, and then make internal analysis and statistics. In data analysis, data analysts subdivide data according to different dimensions, and find representative core data for in-depth analysis in the process of subdivision, so as to get more accurate data analysis results and improve them.

3.AB test method.

AB test method is to specify two schemes, A and B, to achieve the same goal. A is the current scheme and B is the new scheme. By testing and comparing the important data concerned by the two schemes, the scheme with the best effect is selected and popularized.

4. Funnel analysis method.

The essence of funnel analysis is to control the results through the change of data flow, evaluate the data situation of each link, and then achieve the purpose of optimizing the data.

5. Cluster analysis method.

By analyzing abstract data according to similar objects, this data analysis method can find deeper relevance and significance of data.

Cluster analysis is mainly about analyzing customer data, tracking and deep mining customers through big data, accurately finding the same or similar attributes among customers, and then formulating corresponding marketing strategies.