Disparate Cloud Data Reformatting Into Human-Readable Folders
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Solution Overview
Problem
Data stored in cloud systems or third-party systems is often in cryptic, numerical formats, making it difficult for entities to compile and retrieve relevant information without access to the cloud vendor's native application.
Innovation Solution
A method and system for reformatting data into readable textual formats, sorting data packets based on data groups and types, and storing them in structured folders named with unique alphanumerical characters, allowing entities to organize and retrieve data without relying on the cloud vendor's interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored in cloud systems using relational database systems, then data can be stored in various locations with cryptic numerical relationships, but data becomes difficult to retrieve and understand without access to the cloud vendor's native application
Solution Approach 1:
The patent segments data from multiple disparate data tables into a single consolidated text file per entity. Instead of requiring users to navigate complex relational database structures across multiple tables, the system extracts and combines all relevant data fields (personal information, contact details, employment history, etc.) from various tables into one organized, human-readable text file that can be easily retrieved and understood without needing access to the cloud vendor's application.
Solution Approach 2:
The patent introduces an intermediary processing system that acts as a mediator between the cloud database and the end user. This system automatically queries the cloud vendor's database using stored credentials, retrieves data from multiple tables, processes and consolidates it into readable format, and delivers it to the user. This intermediary eliminates the need for users to directly interact with the complex cloud database structure while maintaining data accessibility.
2Quantity of substance
If data is stored in cryptic numerical formats in cloud systems, then data can be compactly stored, but data becomes incomprehensible and unusable without specialized software
Solution Approach 1:
The patent applies parameter changes by transforming data from its original storage format (cryptic numerical relationships in relational databases) to a completely different format (human-readable text). The system changes the representation parameters of the data, converting numerical IDs and structured database fields into descriptive text labels and organized paragraphs that maintain all information while becoming immediately interpretable by humans without specialized software.
3Adaptability or versatility
If entities need to compile entity data without using the cloud vendor's native application, then data independence is achieved, but the process becomes tedious and complex
Solution Approach 1:
The patent implements self-service by enabling entities to independently retrieve and compile their own data without requiring the cloud vendor's native application or technical support. The system uses pre-stored credentials to automatically authenticate with the cloud database, query for the entity's data, process and consolidate it into readable format, and deliver it directly to the entity. This automated self-service process eliminates the need for complex manual data compilation while maintaining complete data independence.
Data Source
AI summary
Various methods, systems, and computer program products are provided for reformatting data. An example method includes receiving one or more first data packets. Each of the one or more first data packets include one or more data fields for which a response is capable of being recorded. Each of the one or more first data packets are associated with a first identification record. The method also includes converting each of the one or more first data packets into a readable textual format. The method further includes generating a folder associated with the first identification record. The folder associated with the first identification record includes at least one file associated with the first identification record. The method still further includes storing the readable textual format of the one or more first data packets in the folder associated with the first identification record.