Virtual organization-based KPI analysis method and statistical analysis system

Abstract

The invention discloses a virtual organization-based key performance indicator (KPI) analysis method, and belongs to a data analysis method. The method comprises the following steps of: defining the KPI for determining the key indicator of evaluating subordinate enterprises and a computing mode; defining enterprise analysis dimensions for defining the analysis angle of the subordinate enterprises; defining a virtual organization and appointing a corresponding relationship between the virtual organization and a standard organization and the dimension attributes of the virtual organization; automatically forming an analysis organization tree for the subordinate enterprises according to various dimensions, uniformly processing the KPI and storing in a KPI warehouse; and analyzing and displaying data in the KPI warehouse in various forms. Compared with the prior art, the method can improve the dimension flexibility of a KPI statistical analysis unit, improves the automation degree of forming the KPI for the subordinate enterprises according to the dimensions and reduces the work complexity of KPI analysis personnel.

Description

technical field [0001] The invention relates to a data analysis method, in particular to a KPI index analysis method based on a virtual organization that realizes multi-dimensional analysis of the KPI index of subordinate enterprises within a group enterprise in an ERP system. Background technique [0002] KPI index is a kind of business language, which is a summary reflection of social (including enterprise) economic activities. Changes in corresponding fields can be visually represented through changes in corresponding indicators. KPI indicators have become the focus of attention in all aspects of society. [0003] KPI indicators are also a management tool for the collection of internal business information, statistical analysis, and performance evaluation of a group company. With the rapid development of the economy, a large number of super-large group companies with diversified main businesses and internationalized molecular organizations have emerged in my country, whic...

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Problems solved by technology

[0006] However, with the above processing methods, since Excel files are used to process similarly meaningful and interrelated data and stored independently, it is difficult to ensure data consistency and it is difficult to flexibly conduct multi-dimensional comparative analysis of KPI indicators at the same time; at the same time, performance management personnel It is necessary to manually process multiple sets of Excel tables according to the change of the analysis caliber, especially the statistical caliber combined with various calibers, the workload will increase geometrically, and it is difficult to meet the actual requirements of the internal management

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