On the construction and design of enterprise ECIF system (unfinished)

First: concept:

Enterprise customer information system. As a member of the bank

A total of infrastructure projects are responsible for the integration of banking systems

To provide customer information for other applications

The task of information. It is the bank's unified customer data source and

The data exchange hub of customer information.

II: required concepts

①: ETL storage processing

②: ecif data model

③: data analysis

Three: goal

① builds an integrated single customer view cluster, where customers'

Obtain, record and modify comprehensive information, including basic letters

Interest, various accounts, relationship information, etc., to build a unified customer of the enterprise.

Household single view, merge and split customer information, and deal with the original business system

The system retains its own customer information, customer information data batch loading and data

Synchronize.

② is integrated with all kinds of application systems to support the

Access and update to achieve instant, complete, consistent and shared customer information system

Transform the original business system, peel off the customer information, and obtain the relevant information through the unique customer view interface.

③ customer information application, focus on the integrated customer segmentation, evaluation,

Analysis, potential customer mining, customer marketing and customer risk management, etc.

Four: realization

Four-tier architecture model

①: source layer (applicable to the initial stage of system construction, this layer will be cancelled after the standardization layer is improved)

②: standardization layer, standardized customer information model, this layer is the basis of ECIF, and open interface to various applications to achieve real-time update and access of user information.

③: extension layer, this layer combines the network to obtain other user information, and enriches customer information on the basis of the standardization layer.

④: data Mart, data cube layer, to achieve 360 °index analysis, evaluation.