Adaptive Collections Engine for Cross-Channel Data Integrity
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Solution Overview
Problem
Conventional response collection technologies face challenges in integrating and consolidating responses across diverse communication platforms, leading to inconsistencies and errors, struggling with data retention and auditing, lacking robust access controls, and failing to motivate participants for comprehensive responses.
Innovation Solution
The collections engine allows users to create response collections from source documents, assign record owners, set completion and escalation conditions, and generate reports, ensuring secure and granular access while prompting participants through escalation actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional response collection technologies are used to collect responses across diverse communication platforms, then responses can be gathered from multiple channels, but inconsistencies and errors occur in integration and consolidation
Solution Approach 1:
The patent introduces a centralized response collection system that acts as an intermediary between diverse communication platforms. This system receives responses from multiple channels (email, web forms, social media, mobile apps) and consolidates them into a unified format, eliminating inconsistencies that occur when platforms try to integrate responses directly. The intermediary system standardizes data structures and validation rules to ensure reliability.
2Productivity
If conventional response collection tools are used, then basic response gathering is possible, but data retention and auditing capabilities are insufficient
Solution Approach 1:
The system performs preliminary actions by automatically archiving and preserving response data in a structured format immediately upon collection. It pre-establishes audit trails that track the lifecycle of each response, including collection timestamps, source identifiers, and processing history. This preliminary data preservation ensures that information is retained and accessible for future auditing without interfering with ongoing response gathering operations.
3Ease of operation
If conventional response collection methods are used, then responses can be collected, but robust access control mechanisms are lacking
Solution Approach 1:
The patent implements local quality by applying granular access control policies to specific portions of response data rather than uniform controls across all data. Different users can be granted different levels of access to different records or fields based on their roles and permissions. This allows the system to maintain ease of operation for authorized users while preventing unauthorized access to sensitive information through localized security measures.
4Adaptability or versatility
If traditional response collection tools are used, then basic data collection is possible, but selective editability is difficult to manage
Solution Approach 1:
The system segments response data into distinct editable and non-editable fields or records. Each response can be divided into multiple components, with specific fields marked as editable based on predefined rules or user permissions. This segmentation allows authorized users to modify only specific portions of responses while preserving the integrity of other fields, thereby maintaining both flexibility and data precision simultaneously.
5Productivity
If conventional response collections are used, then responses can be gathered, but dynamic prompting features are lacking
Solution Approach 1:
The patent implements feedback mechanisms that dynamically monitor response completion status and automatically send prompting notifications to respondents who have not completed their responses. The system tracks which fields are filled and which are empty, then provides targeted feedback to encourage completion of missing information. This feedback loop maintains response completeness without requiring manual follow-up, thereby preserving information while maintaining collection efficiency.
Data Source
AI summary
Various embodiments of the present technology generally relate to systems and methods for providing a collections engine. In an example, a method includes receiving, by a collections engine, a source document having a dataset and generating, by the collections engine, a response collection having records based on the dataset. The collections engine may assign a record owner for each of the records and determine one or more completion conditions for each of the records. The collections engine may also determine one or more escalation conditions for an incomplete record, the incomplete record being a record in which one or more of the completion conditions are not met. The collections engine may transmit a first record of the plurality of records to a respective record owner.