Scratchpad Data Transfer Across Applications Without Manual Copying
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Solution Overview
Problem
Existing systems fail to efficiently integrate and disseminate data between and within applications, leading to duplicative and unnecessary requests for information during telephonic customer interactions.
Innovation Solution
A computerized system utilizing a scratchpad application to receive, analyze, and disseminate data subsets automatically across applications, employing tag and display analysis engines to identify and import relevant data without manual copying.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual data copying and integration between applications is performed, then data accuracy can be maintained through user review, but time consumption and operational complexity increase significantly
Solution Approach 1:
The system performs automatic data identification, extraction, and dissemination between applications without requiring manual user intervention. The scratchpad application autonomously analyzes displayed data, identifies relevant subsets, and transfers them to target applications, eliminating the need for manual copying while maintaining data accuracy through automated validation processes.
Solution Approach 2:
The patent replaces manual mechanical data copying operations with an automated computerized system. The scratchpad application uses software-based data analysis and dissemination engines to substitute human manual processes, thereby reducing time consumption while maintaining or improving data accuracy through consistent automated procedures.
2Productivity
If comprehensive data integration systems are implemented across multiple applications, then data dissemination efficiency improves, but system complexity increases
Solution Approach 1:
The scratchpad application serves multiple functions within a single interface: it displays data from various sources, analyzes the displayed data, identifies relevant data subsets, and disseminates them to multiple target applications. This multi-functional approach improves data dissemination efficiency across the enterprise while avoiding the complexity of implementing separate specialized systems for each function.
Solution Approach 2:
The scratchpad application acts as an intermediary between multiple applications and data sources. It receives data displays from various applications, analyzes the content, and disseminates relevant information to target applications. This intermediary role simplifies the overall system architecture by providing a centralized coordination point rather than requiring direct integration between all application pairs.
3Loss of time
If automated data dissemination is implemented, then time spent on data management is reduced, but the ability to control and verify data accuracy decreases
Solution Approach 1:
The system incorporates feedback mechanisms where the scratchpad application continuously monitors data displays from source applications, analyzes the displayed information, and verifies the accuracy of disseminated data. This automated feedback loop maintains data accuracy control while reducing manual verification time, as the system self-validates the data it extracts and transfers to target applications.
Data Source
AI summary
A computer method and system for disseminating computerized content via an scratchpad application in which data is received at a computing device, preferably via user input. The data is displayed on the computing device, via the scratchpad application, and a subset of the data is identified which is to be copied and disseminated. A second application is identified that will receive the data subset such that at least a portion of the data will be imported to the second application.