Data Orchestration System for Real-Time Cross-Vendor Aggregation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for data collection, aggregation, normalization, analysis, and decision-making across disparate devices and applications are sequential and time-consuming, leading to outdated decisions due to lack of real-time correlation and automation, and are often isolated to single contexts or vendors.
Innovation Solution
A computer automated system configured with a processing unit, memory, and network communication capabilities that aggregates, normalizes, and analyzes data from multiple sources in real-time, determining user needs and initiating transactions with providers based on correlated events, conditions, and trends across devices and applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If sequential data collection, aggregation, and analysis steps are used, then data processing can be completed with simple system architecture, but decision-making time is excessive and data may become outdated
Solution Approach 1:
The patent combines data collection, aggregation, normalization, analysis, and decision-making into a single integrated real-time processing system. The orchestration platform merges multiple previously separate functions into one unified architecture that processes data streams continuously without sequential delays, thereby reducing decision-making time while managing complexity through integration.
Solution Approach 2:
The system implements dynamic real-time processing where data flows continuously through the orchestration platform rather than following fixed sequential batches. The architecture dynamically adjusts processing priorities and correlates events as they occur, enabling timely decisions while maintaining manageable complexity through adaptive rather than static processing pathways.
2Adaptability or versatility
If isolated solutions are used for single contexts or vendors, then system complexity is reduced, but adaptability across multiple devices and protocols is limited
Solution Approach 1:
The orchestration platform implements universal adaptability by incorporating multiple protocol support layers and vendor-agnostic data normalization capabilities. The system can handle diverse device types, communication protocols, and data formats through a unified architecture that translates various inputs into a common processing framework, enabling cross-vendor compatibility without requiring separate isolated solutions for each device type.
Solution Approach 2:
The patent introduces an intermediary orchestration layer that mediates between diverse data sources and the analysis engine. This intermediary component handles protocol translation, data normalization, and format standardization, allowing the core system to remain relatively simple while achieving high adaptability through the mediating layer that bridges different vendors and device types.
3Productivity
If real-time automated decision-making is implemented, then productivity and response time are improved, but system complexity and automation requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-configuring analysis rules, decision thresholds, and action protocols before real-time data arrives. The orchestration platform is pre-programmed with business logic and decision criteria, enabling automated real-time processing without requiring complex runtime decision-making algorithms. This preliminary setup reduces the automation complexity needed during actual real-time operation while maintaining high productivity.
Data Source
AI summary
Embodiments disclosed include computer automated systems and methods for aggregating data from a plurality of data sources, such as proxy devices, legacy protocols, devices, applications, machines, sensors, things across locations and user types, or device clouds among devices and applications. The aggregated data is then normalized and the normalized data is analyzed. The analyzing is based on a correlated event or events, a correlated condition or conditions, and a correlated trend or trends across the plurality of data sources. And based on the analyzed data, relevant aggregated and normalized data is combined and displayed in a display compatible format. Additionally, user needs are determined based on the analyzed aggregated, normalized data. The user need comprises a need for an item or items comprising at least one of a service, a product, and an upgrade of hardware or software components. Further a provider from a plurality of providers is determined based on the determined user need, and finally a need fulfillment transaction between the user and the provider is initiated.