Exploratory data analysis system based on business object

Abstract

The scheme is an exploratory data analysis system based on a business object, comprising (1) a business object abstract module, which is used for a) selecting any table T, abstracting fields (CM, ..., CN) of the table T as business objects (OM,...,ON) according to their meanings, and binding to the business objects (OM,...,ON); b) selecting another table T2 and processing the table T2 according to the step a); c) processing all tables according to the step b), and 2) a business object semantic parsing engine, which is used for d) selecting the business object in the business object collection (O); e) finding a mutual table relation of I and Y, and putting the eligible relation in a relation set R; f) calculating the result by using an optimal path and returning the result; g) performing reverse resolution to obtain Q with all usable tables in the relation set R, g) performing de-weight to the object in the Q and the selected dimensionality measurement object, and returning to an explorable collection object (O1), h) finding a directly related business object collection (O2) in the (O1) and returning to (O1)U(O2) to form the object which can be explored and analyzed.

Description

Technical field [0001] The invention relates to a data analysis system, in particular to an exploratory data analysis system based on business objects. Background technique [0002] Currently, there are two main types of data analysis tools on the market: [0003] 1. Based on the analysis of the underlying table, such a tool has a high barrier to use, and only a small number of people who know the technology can use it; [0004] 2. Configured as a business object, but there are several disadvantages: [0005] (1) The relationship between the objects needs to be manually designated; [0006] (2) Business experts, technical experts, and data model experts are required to participate in the whole process of business configuration; [0007] (3) With the gradual increase in business, the relationship between objects is difficult to maintain, and once an error occurs, it is difficult to locate; [0008] (4) When the requirements change, the entire process must be walked through, and the modifi...

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Problems solved by technology

[0007] (3) With the gradual increase in business, the relationship between objects is difficult to maintain, and once an error occurs, it is difficult to locate;

[0008] (4) When the requirements change, the whole process must be gone through again, and modifying the business may cause other unforeseen problems;

[0009] (5) The business scenario is fixed, and it can only be based on the scenarios supported by the model design, and it is difficult to meet new requirements

[0010] To sum up, in the prior art, when using tools for data analysis, they always think about what analysis needs to be done in advance. The disadvantage of this is that they need to have a sufficient understanding of the data to do the analysis, and the tools are only for presentation and statistics, and have no Provides the ability to guide users to use and analyze data

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