Method for improving data utilization efficiency

A data and efficiency technology, applied in the field of improving data utilization efficiency, can solve problems such as unsuitable marketing system, difficult marketing scenarios, high cost, etc., to achieve the effect of improving data utilization efficiency, rapid combination and application, and low cost

Pending Publication Date: 2021-12-07
深圳耀金信息咨询有限责任公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1) These historical data are all transaction data, index data and third-party procurement data. Their data models are quite different from those of the marketing system. It is difficult to directly apply them to marketing scenarios and require a huge amount of work to convert
[0004] 2) These data are sensitive data in the financial industry and are not suitable for marketing systems
[0005] 3) The amount of these data is huge, and the marketing system needs to pay extra high costs to undertake them, and these costs are all repetitive construction

Method used

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  • Method for improving data utilization efficiency
  • Method for improving data utilization efficiency
  • Method for improving data utilization efficiency

Examples

Experimental program
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Embodiment Construction

[0026] see Figure 1-3 Shown, the technical solution that this specific embodiment adopts is: it comprises the following steps:

[0027] Step S1, connect to the BI system, and synchronize tag metadata;

[0028] Step S2, configuring core labels and operation rules;

[0029] Step S3, checking the validity of the label operation rules;

[0030] Step S4, triggering the BI system to perform label calculation;

[0031] Step S5, the BI system performs core label calculation;

[0032] Step S6, the BI system returns the core tags and the crowd;

[0033] In step S7, the marketing execution is carried out after the labels are layered.

[0034] The metadata in step 1 includes the data of high net worth individuals calculated by the company's existing core BI system based on historical transactions, financial management and other third-party data.

[0035] The configuration of the core label in the step 2 is to create a label configuration box in the system, and load it into a label ...

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Abstract

The invention discloses a method for improving data utilization efficiency, and relates to a data utilization method. According to the method, labeling and index operation are carried out aiming at a complex BI system constructed by an enterprise, that is, labels are divided into core labels and execution labels, after core label operation is carried out on the existing BI system of the enterprise, the labels are issued to a marketing system to be executed, the core labels are grouped again in the execution process of the marketing system, and then an operator adopts a targeted marketing means for the groups, so that the existing data assets can be well activated, and the data can be applied to a flexible and changeable marketing scene. Rapid combination and application of enterprise internal core data and marketing scenes are realized, the method also has the characteristics of relatively low implementation cost and relatively high implementation speed, and the data utilization efficiency of financial enterprises is improved.

Description

technical field [0001] The invention relates to a data processing technology, in particular to a method for improving data utilization efficiency. Background technique [0002] At present, many financial companies have a huge number of customers and a lot of historical data. For these data, companies have built complex BI systems for labeling and index calculations. However, it is difficult for these existing data assets to be quickly applied to marketing and customers. Come in operation. The traditional idea and approach is to import these data into the marketing automation system. However, such an idea and approach is just a good wish. When it is implemented, it will encounter the following three problems: [0003] 1) These historical data are transaction data, index data and third-party procurement data. Their data models are quite different from those of the marketing system. It is difficult to directly apply them to marketing scenarios and require a huge amount of work...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q40/04G06Q40/06G06F16/907
CPCG06Q30/0201G06Q40/04G06Q40/06G06F16/907
Inventor 童彤林宇琴
Owner 深圳耀金信息咨询有限责任公司
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