Content Consistency Service for Collaboration Tools
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Solution Overview
Problem
Conventional collaboration tools often become inconsistent and unreliable over time as they store and serve immutable data from multiple locations, leading to outdated information being presented to users due to lack of centralized management.
Innovation Solution
A content consistency service is implemented to monitor databases for duplicate or similar data, replacing these instances with a single reference data item stored in a reference database, ensuring that all locations access the freshest representation of the data, thereby maintaining data integrity and consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If immutable data is stored in multiple locations within a collaboration tool, then data can be accessed from different pages and tools, but the data becomes inconsistent and outdated over time
Solution Approach 1:
The patent introduces a reference database as an intermediary layer between the content database and various collaboration tool pages. This reference database stores the authoritative copy of immutable data (such as user profiles, company information, product details), while content databases store only references to this data. When data needs to be displayed, the system retrieves it through the reference database, ensuring consistency across all pages and tools while maintaining accessibility.
2Ease of operation
If duplicate data is maintained across multiple pages and tools, then each location can display information independently, but the burden of maintaining data freshness increases
Solution Approach 1:
The patent merges the storage of immutable data into a single reference database that is shared across all collaboration tool pages and tools. Instead of maintaining separate copies of data in each content database, the system consolidates the authoritative data source while allowing each page and tool to independently access and display the data as needed. This eliminates redundant maintenance efforts while preserving independent display capabilities.
3Adaptability or versatility
If similar data is stored in different formats across the collaboration tool, then flexibility in data presentation is achieved, but data integrity and consistency are compromised
Solution Approach 1:
The patent applies local quality by maintaining a standardized data format in the reference database for each type of immutable data (such as user profiles, company information, product details). Each content database then stores references to this standardized data while allowing local formatting and presentation variations when displaying the data. This ensures that the source data maintains precision and consistency while enabling flexibility in how the data is presented to users across different pages and tools.
Data Source
AI summary
A collaboration tool includes a content consistency service that monitors a content database of the collaboration tool for substantially similar and/or duplicate data items that reference substantially static information, such as telephone numbers, addresses, and the like. In response to such a determination, the content consistency service replaces all occurrences of duplicate/similar data items with references to a single main reference database.