Comparison of Client and Benchmark Data

摘要

Systems and methods of performing comparisons of client data and benchmark data are described. When client data is compared to internal benchmark data, comparative result values may be computed by performing a multidimensional operation with respect to client data for a particular dimension member and client data for additional dimension members that are related to the particular dimension member. When client data is compared to external benchmark data, a client result value may be computed based on a multidimensional operation and a benchmark result value may be determined based on a mapping of client dimension members to benchmark dimension members. The result values may be provided by a server to a client, which may generate a graphical user interface (GUI) based on the result values.

主权项

1. A method comprising:
receiving, by a server, a selection of a measure, a first dimension member, and an external benchmark from an application executed by a computing device, wherein the first dimension member is a first data value of a plurality of hierarchically arranged data values for a particular dimension of client data; determining, by the server, a security level of a user associated with the application; computing, by the server, a first result value of the measure for the first dimension member, wherein computing the first result value comprises executing a particular multidimensional operation on the client data corresponding to the first dimension member; identifying, by the server, a second dimension member of the particular dimension based on a relationship between the first dimension member and the second dimension member; computing, by the server, a second result value of the measure for the second dimension member, wherein computing the second result value comprises executing the particular multidimensional operation on the client data corresponding to the second dimension member; in response to determining that benchmark data associated with the external benchmark does not include a match for the first dimension member, automatically identifying, by the server, a third dimension member of the benchmark data, wherein the third dimension member is a hierarchical descendant of the first dimension member; computing, by the server, a benchmark result value of the measure based on the identified third benchmark dimension member using a model that relates the first dimension member to the third dimension member; and sending the first result value and the benchmark result value to the application.