Collaborative Communication Schema Translation for Compliance Archiving
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Solution Overview
Problem
Cloud-based collaborative platforms face challenges in capturing and archiving diverse data types and interactions in a compliant manner due to their focus on user experience and productivity rather than regulatory compliance, complicating regulatory capture and archiving processes with varying legal requirements and rapid updates.
Innovation Solution
A system that initiates API calls to retrieve comments from collaborative platforms, parses and transforms data into an archival format, manages various data structures, and ensures comprehensive capture and archival of communications, including sentiment analysis and visualization of communication patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cloud-based collaborative platforms focus on user experience and productivity features, then ease of operation and productivity are improved, but the ability to capture and archive communications in a compliant manner deteriorates
Solution Approach 1:
The patent introduces an intermediary archiving system that connects to collaborative platforms via API calls. This intermediary layer captures communications data structure transformations and stores them in an archive data store without requiring modifications to the original collaborative platform, thus preserving user experience while enabling compliance capture.
Solution Approach 2:
The system creates copies of communications data from the collaborative platform and stores them in a separate archive data store. The copying process includes transforming the data between different data structure schemas while maintaining the original content, allowing compliance archiving without affecting the original platform's operation.
2Adaptability or versatility
If collaborative platforms support diverse data types and interactions for versatility, then adaptability is improved, but the complexity of capturing and archiving all communications deteriorates
Solution Approach 1:
The patent employs parameter changes by transforming data between different data structure schemas. The system adapts to diverse data types from various collaborative platforms by converting their native data structures into a standardized archival format, managing complexity through systematic parameter transformation rather than handling each data type separately.
Solution Approach 2:
The archiving system is designed with universal functionality to handle multiple data types and interaction formats from different collaborative platforms. By implementing a standardized data structure schema that can represent various communication types, the system achieves multi-functionality without proportionally increasing complexity.
3Productivity
If collaborative platforms enable real-time collaboration features, then productivity is improved, but the difficulty of detecting and measuring all communications for archiving increases
Solution Approach 1:
The system performs preliminary action by initiating API calls to capture communications data as it is generated on the collaborative platform. By establishing the archiving mechanism in advance and using automated data structure transformations, the system captures real-time communications without interfering with the collaboration process, making detection and measurement more manageable.
Data Source
AI summary
A method may include generating an API call to a collaborative document creation platform, the API call requesting comments made with respect to a document hosted by the collaborative document creation platform; transmitting the API call to the collaborative document creation platform; in response to the transmitting, receiving from the collaborative document creation platform, a data payload, the data payload identifying a communication made within the document and the communication formatted in a first data structure schema; transforming the communication formatted in the first data structure schema to a second data structure schema; and storing the communication formatted in the second data structure schema in an archive data store.