Indexed Data Templates for On-Demand Communication Documents
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Solution Overview
Problem
Existing systems face challenges in minimizing digital storage usage while meeting electronic communication document retention requirements, particularly due to upfront generation and storage of documents, which are inefficient and resource-intensive, especially when only a small percentage are accessed.
Innovation Solution
The system generates electronic communication documents on-demand, using standardized data files from systems of record associated with content templates, and retrieves user-specific data to create documents in real-time, supporting various file formats including accessibility features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electronic communication documents are generated and stored upfront in a comprehensive document file, then all user documents are immediately available for access, but storage capacity is significantly increased and most stored documents remain unused
Solution Approach 1:
The system performs preliminary actions by pre-processing data from systems of record into standardized data files with embedded indexing information before document generation requests arrive. This allows rapid on-demand document generation without storing complete document files in advance, resolving the contradiction between immediate availability and storage efficiency
Solution Approach 2:
Instead of storing complete document files, the system stores standardized data files that contain only the essential indexing information needed to generate documents on-demand. When a document is requested, it is generated by copying and processing the relevant data from the standardized file, eliminating the need to store multiple format versions while maintaining quick access capability
2Speed
If electronic communication documents are generated upfront for all users, then retrieval is fast, but processing time and computational resources are wasted on documents that will not be accessed
Solution Approach 1:
The system performs preliminary data standardization and indexing before document generation requests arrive, but delays actual document generation until needed. The standardized data files with embedded indexing information enable rapid on-demand generation, achieving fast retrieval without the waste of processing all documents in advance
Solution Approach 2:
The system transitions from a static pre-generated document model to a dynamic on-demand generation model. Documents are generated in real-time based on actual user requests, allowing the system to adapt processing resources to actual needs rather than continuously maintaining all documents in memory
3Device complexity
If documents are stored in a comprehensive document file in advance, then storage is simplified, but storage capacity requirements are significantly increased
Solution Approach 1:
The system segments the storage architecture into two distinct components: standardized data files that contain only essential indexing information (minimal storage), and generated documents that are created on-demand when needed. This segmentation eliminates the need to store complete document files in advance while maintaining storage management simplicity through standardized data file formats
Solution Approach 2:
The system extracts only the essential indexing information from complete document files and stores it in standardized data files. When documents are needed, the full documents are reconstructed by combining the extracted indexing data with template information, eliminating the need to store complete document files while preserving all necessary access capabilities
4Adaptability or versatility
If documents are generated in multiple formats upfront, then format versatility is provided, but processing complexity and storage requirements increase significantly
Solution Approach 1:
The system performs preliminary standardization of source data into a unified format with embedded indexing information. When documents are requested in different formats, the standardized data file serves as a common source that can be transformed into any required format on-demand, eliminating the need to pre-generate and store multiple format versions while maintaining format versatility
Solution Approach 2:
The standardized data file structure serves as a universal foundation that can generate documents in multiple formats (PDF, AFP, HTML, etc.) through a single source. The embedded indexing information and standardized layout data enable the same data file to produce different format outputs without requiring separate processing pipelines for each format
Data Source
AI summary
On-demand generation of electronic/digital communication documents. Standardized data files are received which contain the variable and indexing user data needed to generate the digital communication documents for various users. These data files are associated and stored with a corresponding content template file, which includes all of the static data required to generate the digital communication documents. Subsequently, when a request is made for a digital communication document, the data file is accessed and searched for the specific user's variable and indexing data and once retrieved, the digital communication document is generated, in the desired format, using the user's variable and indexing data and the static data found in the associated content template file. In this regard, generation of the document can be in any file format required of the delivery channel, such as online, mobile application, including video and virtual assistance channels, data insight analysis or the like.