Centralized Data Sharing Platform for Enterprise Systems

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current data sharing methods within organizations are inefficient, leading to delays and significant data duplication due to multiple sharing steps and the use of different systems and regulations by third-party cloud services.

Innovation Solution

The implementation of a centralized data sharing system that allows for in-place data sharing by using a single data source for storage and processing, enabling controlled data exposure and reducing duplication through direct access from a central hub.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple data sharing steps are used to share data across business units and with external partners, then data can be accessed by different organizations, but data sharing delays increase and data duplication occurs

Engineering Contradiction:

Improvedata sharing capabilityVSAvoiddata sharing delay

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent merges multiple data sharing steps into a single centralized data sharing platform. The system consolidates internal business unit data sharing and external partner data sharing into one unified architecture, where a central data source stores master data that can be accessed by multiple business units and external partners simultaneously through a single interface, eliminating sequential processing delays

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces a centralized data sharing platform as an intermediary between the central data source and multiple data consumers (business units and external partners). This intermediary manages data access requests, applies security policies, and coordinates data sharing operations, enabling simultaneous access without creating data duplication while reducing overall sharing time

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If multiple data sharing steps are used to share data across different systems, then data can be accessed by various organizations, but data duplication increases significantly

Engineering Contradiction:

Improvedata sharing capabilityVSAvoiddata duplication

Core Design Contradiction:

Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The patent merges multiple data storage locations into a single centralized data source. The system architecture consolidates master data storage so that all business units and external partners access data from the same central location rather than creating copies across multiple systems, thereby eliminating data duplication while maintaining broad data sharing capability

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent creates a universal data sharing platform that serves multiple functions: internal business unit data sharing, external partner data sharing, and cross-organizational data exchange. This single multi-functional system replaces multiple specialized data sharing systems, enabling diverse data sharing needs to be met without creating duplicate data stores

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Quantity of substance

If third-party cloud services with different systems and regulations are used to store company data, then data storage capacity increases, but data sharing complexity and processing costs increase

Engineering Contradiction:

Improvedata storage capacityVSAvoiddata sharing system complexity

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent merges data from multiple third-party cloud services into a single centralized data source. The system consolidates data storage and management operations, applying uniform security policies and access controls across all data regardless of its original source, thereby reducing the complexity of managing multiple different cloud systems and their varying regulations

Inventive Principle:

Principle #5Merging (Combining)

4Adaptability or versatility

If entire sets of raw data are copied for sharing, then data can be shared with multiple users, but processing costs increase

Engineering Contradiction:

Improvedata sharing capabilityVSAvoiddata processing cost

Core Design Contradiction:

Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The patent implements a selective copying mechanism where instead of copying entire sets of raw data, the system copies only the specific data fields or records that are requested by users. The centralized data sharing platform retrieves and shares only the necessary portions of data from the central data source, significantly reducing processing costs while maintaining data sharing capability

Inventive Principle:

Principle #26Copying

Data Source

PatentUS12321360B2Systems and methods for data sharing and processing

Publication Date: 2025.06.03 NBCUNIVERSAL MEDIA LLC

AI summary

A non-transitory computer readable medium includes instructions that, when executed by one or more processors, cause the one or more processors to receive, from a requesting account, a selection of one or more data sets that are indicated as sharable and requestor information. The instructions, when executed, also cause the one or more processors to generate a sharing request for the one or more data sets, validate the sharing request based on restrictions for the one or more data sets, apply requestor-specific restrictions to a subset of the one or more data sets to generate a modified subset of the one or more data sets, and send the modified subset of the one or more data sets to the requesting account.