Resource data fluctuation analysis processing method and device, storage medium and program product
By automating resource data fluctuation analysis through a big data platform, the problems of high cost and error in manual processing have been solved, achieving efficient and accurate resource data fluctuation analysis.
CN121880992APending Publication Date: 2026-04-17SF TECH CO LTD
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Patent Information
- Application Number
- CN202512039555.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-30
- Publication Date
- 2026-04-17
AI Technical Summary
Technical Problem
In existing technologies, resource data fluctuation analysis relies on manual processing, which leads to high labor costs and is prone to errors.
Method used
This paper provides a method for analyzing and processing resource data fluctuations. It automatically extracts data from multiple business systems through a big data platform, classifies and analyzes fluctuation information according to preset tasks, generates fluctuation analysis results, and triggers corresponding processing tasks.
Benefits of technology
It enables automated resource data fluctuation analysis, reduces labor costs, improves analysis accuracy and processing efficiency, and avoids errors in multi-dimensional analysis.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to the technical field of resource processing, provides a resource data fluctuation analysis processing method and device, a storage medium and a program product, and can automatically perform resource data fluctuation analysis processing. The method comprises the following steps: in response to a data extraction trigger event, extracting first resource data and corresponding first service volume data of each service in an analysis period from a multi-service system; classifying the first resource data of each service and the corresponding first service volume data according to preset multi-class resource inspection tasks to obtain second resource data and corresponding second service volume data under each class of resource inspection tasks; for each type of resource inspection task, acquiring fluctuation information of the second resource data and the corresponding second business volume data under each preset resource analysis dimension and / or each resource analysis dimension combination, and obtaining a fluctuation analysis result under the resource inspection task according to the fluctuation information; and triggering creation of a corresponding resource processing task according to a fluctuation analysis result.
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