Characteristics data statistic method and system of members

Abstract

The invention discloses a member characteristics data statistic method, comprising the following steps: (1) extracting basic data information reflecting member attribute characteristics and constructing a member basic data table which at least consists of the basic data information as fields and a plurality of expanded information tables; (2) carrying out compositional modeling between the basic data table and the expanded information tables; (3) cleaning member disposal status everyday into a daily summary sheet, and using the daily summary sheet to update the record of new member basic datatable and the record of the expanded information tables; (4) aggregating records meeting requirements from the member basic data tables or corresponding expanded information tables after receiving thestatistic condition which is set by an applicant to arbitrarily assemble one service characteristic or multiple service characteristics to finish the data statistic operation thereof. By using the above method, statistic operation participated by technician can be reduced to the hilt, thus manpower cost is saved and running efficiency of the system is improved.

Description

technical field [0001] The invention relates to the network field, in particular to a statistical method and a statistical system for member characteristic data in a database. Background technique [0002] A data warehouse is a subject-oriented, integrated, time-related, and unmodifiable collection of data in enterprise management and decision-making. That is to say, all application systems, such as customer relationship management (CRM, Customer Relationship Management) system, financial system, etc., are integrated by theme, and the entire historical changes are recorded. With the continuous improvement of enterprise informatization, a large amount of business data has been accumulated within the enterprise, and the data warehouse is used to uniformly process these mutually independent and scattered data to meet the needs of high-level decision-making and analysis of the enterprise. [0003] refer to figure 1 , which is a block diagram of the architecture of the data war...

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to provide a statistical method for member feature data to solve the technical problems of time-consuming and labor-intensive statistical methods for member feature data in the prior art and occupying a large number of processing resources of processors

[0011] Another object of the present invention is to provide a member characteristic data statistical system to solve the technical problems that the prior art member characteristic data statistical methods are time-consuming and labor-intensive, and occupy a large number of processing resources of processors

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