Tag-Based Document Automation with Dynamic Database Integration
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Solution Overview
Problem
Current document automation methods lack efficiency in dynamically updating documents with relevant and current data from databases, often requiring users to manually reselect and reenter data, leading to increased errors and resource consumption.
Innovation Solution
A method that allows users to select document components and automatically integrates dynamic data from a database using tags, maintaining document integrity and reducing user actions by mirroring database changes into the document, while enabling efficient data storage and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data reentry is used to update documents, then document data can be updated, but user effort increases and errors increase
Solution Approach 1:
The system creates a copy of the database structure within the document format, allowing automatic replication of data from the database to the document. This copying mechanism eliminates manual reentry while maintaining data accuracy through automated synchronization.
Solution Approach 2:
The document structure automatically updates itself by reading from the database through tags, without requiring user intervention. The system serves itself by maintaining the mapping between database fields and document components, reducing both user effort and potential for human error.
2Productivity
If dynamic data is automatically integrated from database, then user effort is reduced, but system complexity increases
Solution Approach 1:
The system segments the document into distinct components, each associated with specific database fields through tags. This segmentation allows the complex automation to be broken down into manageable, independent mappings between document elements and database records.
Solution Approach 2:
Tags serve as intermediaries between the document structure and the database. These tags act as a mediating layer that simplifies the connection complexity by providing a standardized interface for data integration without requiring direct complex system architecture.
3Stability of the object's composition
If document structure is maintained unchanged when database changes, then document integrity is preserved, but data currency is reduced
Solution Approach 1:
The system implements dynamic document updating where the document structure remains stable but the content within tagged components automatically changes when the database updates. This allows the document to adapt its content dynamically while preserving its overall structural integrity.
Solution Approach 2:
The system pre-establishes the mapping between document tags and database fields in advance. This preliminary configuration enables automatic updates without requiring structural changes to the document, allowing data currency to be maintained while preserving document stability.
Data Source
AI summary
Method, computer program and apparatus, with which receiving from a user a subject selection of a document and a selection of document components from a set of available document components, and automatically: including the selected document components in the document; recognising a set of tags in the selected document components; maintaining the mapping of available tag types and database fields; for each recognised tag acquiring from a database dynamic data based on the subject, the tag, and mapping of the database fields, and combining at least a portion of the acquired dynamic data to the document at the tag; and indicating to the user modifiable parts of the document. Further, modification data is received from the user and saved to the user's modifiable parts.