Data analysis method and device based on housing monitoring platform

Abstract

The embodiment of the invention provides a data analysis method based on a housing monitoring platform, and the method comprises the steps: selecting a to-be-analyzed region and a data dimension related to a user in the region from the housing monitoring platform, and obtaining a to-be-analyzed data matrix; extracting an important dimension from the data dimension according to the feature vector in the data matrix; and screening out users whose correlation with the important dimension is greater than a set threshold from the housing monitoring platform to form a target user. Meanwhile, the invention further provides a data analysis device based on the housing monitoring platform. According to the technical scheme, statistical data is more comprehensive, customers can be intelligently recommended, marketing efficiency and transaction rate are improved, and data cost of companies is saved.

Description

Technical field

[0001] The present invention relates to the field of data information, in particular to a data analysis method based on a housing monitoring platform, a data analysis device based on a housing monitoring platform, and a corresponding storage medium. Background technique

[0002] At present, data mining companies conduct data mining on real estate companies, mainly through data collection, data fusion, and data analysis to form data customers. This method has the following shortcomings: Because data mining companies often involve more fields, and the fields are often wide but not deep, the data produced is to a large extent unreliable and cannot be close to the actual business of the real estate company. , And then unable to produce accurate guidance to the real estate company's business. Moreover, compared with real estate companies, the customer data obtained is static and cannot reflect the dynamic changes of customer data. That is to say, these customer data ...

Images