Scheduling pushing method, system and device and storage medium
A technology of logical relationships and data, applied in the computer field, can solve the problems of low timeliness of data indicators, low flexibility of data indicator combinations, and difficulty in meeting business needs.
Pending Publication Date: 2021-09-10
CHINA GUANGFA BANK
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Problems solved by technology
The existing marketing system has low timeliness in generating data indicators, and the offline batch processing of source data requires at least T+1 timeliness. For some marketing scenarios that require quick response, it is difficult to meet business needs; and the combination of data indicators is flexible The reliability is not high, the data indicators are processed by the source data through customization, and the business personnel cannot directly use the source data for marketing personalized combination. Complex marketing scenarios require the business personnel to personalize and flexibly combine the multi-dimensional source data in real time according to the marketing effect , so as to quickly adjust marketing strategies to meet the ever-changing market competition
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[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0038] It should be understood that the step numbers used herein are only for convenience of description, and are not intended to limit the order in which the steps are executed.
[0039] It should be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in this specification and the appended claims, the singular forms ...
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The invention discloses a scheduling pushing method, system and device and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring a data source and a filtering condition thereof, and generating message data; analyzing the message data to obtain to-be-filtered data information, and filtering the to-be-filtered data information to obtain filtered data; obtaining index data, and performing logical relationship configuration on the filtered data according to the index data to obtain a logical relationship condition; analyzing the logic relation condition to obtain a structured query statement; according to a preset database, executing a screening command on the structured query statement to obtain customer group data; and matching a corresponding push scheduling channel according to the customer group data. According to the invention, the pushing channels can be screened in a targeted manner, and the message pushing efficiency is improved.
Description
technical field [0001] The present invention relates to the field of computer technology, and in particular to a scheduling push method, system, equipment and storage medium. Background technique [0002] With the rapid development of mobile Internet technology, the current financial industry is facing a huge impact of technological change, mainly reflected in the weak growth of offline service outlets, while the rapid growth of online mobile Internet users, traditional marketing methods are not well targeted, and market demand Insufficient grasp, high marketing costs and other issues. Nowadays, the amount of data generated online by customers is huge and the source is complex, including transaction data, behavior touchpoint data, channel return data, etc. How to use big data technology to realize multi-dimensional, Massive data and quasi-real-time precision marketing have become the core technical problems that intelligent marketing needs to solve. [0003] Big data market...
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IPC IPC(8): G06F16/242G06F16/2458
CPCG06F16/2433G06F16/2458
Inventor 罗嘉成禹志成王泽坤王立粱景贤张凯旭李晶莹王毅郑智红田智润
Owner CHINA GUANGFA BANK