Operation analysis report generation method and system

Abstract

The invention discloses an operation analysis report generation method and system. The method comprises the following steps: monitoring a business database; extracting historical business data from the business database, loading the historical business data to a fact business database to obtain fact business data, and generating index data; processing the index data to obtain index prediction data; comparing the index prediction data with corresponding index data in the obtained actual business data of the report entity, and judging whether the corresponding index data in the current actual business data of the report entity conforms to completion expectation or not according to a comparison result; and acquiring expert suggestions corresponding to the comparison result, and generating andoutputting an operation analysis report. According to the invention, qualitative and quantitative analysis is carried out on the business condition of the enterprise, such as the sales condition, through a big data analysis method to determine the key indexes, and a feasible solution is given, so that the improvement of the business condition of the enterprise is realized.

Description

technical field [0001] The invention relates to the field of big data applications, in particular to a method and system for generating a business analysis report. Background technique [0002] In various industries (such as the automobile sales industry), enterprises need to analyze and summarize the operating conditions (including sales, product categories, number of stores, etc.) Provide the basis for the follow-up business plan. [0003] However, at present, most of these analysis reports are completed manually by professionals, and the enterprise itself cannot carry out such analysis work, although it is professional. However, there are shortcomings such as shortage of professionals, huge labor costs, huge project volume, long report generation cycle, subjective bias of different analysts, difficulty in covering all indicator analysis fields, and difficulty in quantitative analysis and predictive analysis. Contents of the invention [0004] Aiming at the deficiencie...

AI Technical Summary

Problems solved by technology

[0003] However, at present, most of these analysis reports are completed manually by professionals, and the enterprise itself cannot carry out such analysis work. Although it is professional

However, there are shortcomings such as shortage of professionals, huge labor costs, huge engineering volume, long report generation cycle, subjective bias of different analysts, difficulty in covering all indicator analysis fields, and difficulty in quantitative analysis and predictive analysis.

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