Automated Mass Data Run Scheduling
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Solution Overview
Problem
Existing business transaction processing systems require significant human intervention for scheduling mass data runs, which increases complexity, time, and cost, especially during deployment and configuration.
Innovation Solution
Automated scheduling of mass data run objects within computer applications, allowing for the identification, generation, and scheduling of mass data run instances without human intervention, using preconfigured variants and selection parameters that specify all relevant business transaction data for processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated scheduling of mass data run objects is implemented, then productivity and time efficiency are improved, but device complexity increases due to the need for configuration systems and automated workflows
Solution Approach 1:
The system performs preliminary configuration of mass data run objects during the deployment phase, where automated workflows are pre-established with selection parameters and scheduling instructions. This preliminary setup eliminates the need for manual configuration during operational phases, thereby improving productivity without requiring complex ongoing system management
Solution Approach 2:
The configuration system enables self-service automated scheduling by allowing the system to automatically identify mass data run objects, generate instances with appropriate selection parameters, and schedule execution without human intervention. This self-service capability improves scheduling efficiency while containing complexity within the configuration system's automated frameworks
2Loss of time
If manual scheduling of mass data run objects is used, then device complexity is reduced, but loss of time increases due to manual intervention requirements during deployment and operation
Solution Approach 1:
The system performs all scheduling configurations and mass data run object setups during the initial deployment phase. Automated workflows are pre-configured with selection parameters that define the scope and timing of data processing operations. This preliminary action eliminates time-consuming manual scheduling during operational phases
Solution Approach 2:
The automated configuration system performs scheduling tasks autonomously by identifying mass data run objects, generating instances with appropriate parameters, and establishing execution schedules without requiring manual intervention. This self-service approach significantly reduces scheduling time while containing system complexity within automated frameworks
3Manufacturing precision
If comprehensive selection parameters are used to identify all business transaction data, then manufacturing precision and data processing accuracy are improved, but device complexity increases due to the need for detailed parameter configuration
Solution Approach 1:
The system pre-configures comprehensive selection parameters during the deployment phase, establishing detailed criteria for identifying business transaction data before operational use. This preliminary configuration ensures accurate data selection while avoiding the complexity of configuring such detailed parameters during operational phases
Solution Approach 2:
The configuration system automatically generates and applies comprehensive selection parameters by analyzing the business transaction data structure and identifying all relevant data elements that need to be processed. This self-service capability ensures complete and accurate data selection without requiring manual configuration of complex parameters
Data Source
AI summary
Techniques are described in which indication of a computer application to be configured for use in a particular business enterprise is received. A mass data run object is identified. The mass data run object defines a computer operation to be performed by the computer application to transform business transaction data as part of a business process. The mass data run object identifies i) selection parameters to select business transaction data to be transformed by the computer operation defined by the mass data run object and ii) instructions, that when executed, perform the computer operation to transform the selected business transaction data. A mass data run object instance corresponding to the identified mass data run object is generated and scheduled for execution.