Power marketing multi-business system data center construction method

Abstract

The invention relates to a power marketing multi-business system data center construction method and belongs to the electric power marketing field. At present, marketing data are distributed in different business application systems, and are poorly correlated with each other, and the application of the marketing data to business analysis is inefficient and not intelligent. The power marketing multi-business system data center construction method of the invention includes the following steps that: 1) the master data of marketing are refined and designed based on a marketing CIM and standard design of various business systems of the marketing, and a marketing affair type data model is designed according to the subject domains and classifications of the data; 2) marketing basic platforms are established, wherein the marketing basic platforms include a marketing basic data platform at a headquarter and marketing basic data platforms in various provinces and cities; and 3) the data are connected into the marketing basic data platforms. With the power marketing multi-business system data center construction method provided by the technical schemes of the invention, internal and external data sharing services can be provided, and an interaction platform can be provided for data sharing between the business systems.

Description

Technical field [0001] The invention relates to the field of electric power marketing, in particular to a method for constructing a data center of a power marketing multi-service system. Background technique [0002] The current marketing data is distributed in different business application systems, and the correlation between them is not strong. When business analysis is applied, data can only be called through interfaces, which is inefficient and unintelligent. At the same time, there are sources between different systems. Problems such as inconsistency and inconsistency of information have led to information asymmetry in the marketing business development process, and the workload of verification is increasing. The technical department also lacks the necessary data quality verification and log analysis and monitoring methods, and cannot quickly and effectively carry out data quality management and targeted fault location. Therefore, it is particularly important to build a mul...

AI Technical Summary

Problems solved by technology

[0002] The current marketing data is distributed in different business application systems, and the correlation between each other is not strong. When business analysis is applied, the data can only be called through the interface, which is inefficient and not intelligent. At the same time, there are sources between different systems. Inconsistencies, inconsistent information and other issues lead to information asymmetry in the process of marketing business development, and the workload of verification is increasing day by day

The technical department also lacks the necessary data quality verification and log analysis and monitoring methods, and cannot quickly and effectively carry out data quality management and targeted fault location. Therefore, it is particularly important to build a multi-system integrated data center

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