Insight Providers for Data Analytics System
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Solution Overview
Problem
Data analytics systems for predictive maintenance are resource-intensive and require high technical skills, limiting their broader adoption due to the need for complex processing and domain expertise.
Innovation Solution
A computer-implemented data analytics system using insight providers with logic and configuration components, each equipped with domain-specific models, processes OT and IT data to provide enriched results, and transmits graphical representations for user interfaces, enabling user interaction and orchestration of analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data analytics systems process OT and IT data using complex domain-specific models, then analytical accuracy and insight quality improve, but resource consumption and system complexity increase
Solution Approach 1:
The system segments data analytics into multiple independent insight providers, each specializing in a specific domain (e.g., predictive maintenance, quality management). Each insight provider contains its own domain-specific model and processes data independently, allowing the system to maintain high analytical accuracy while reducing overall complexity through modular architecture.
Solution Approach 2:
The system introduces an intermediary layer that orchestrates multiple insight providers. This intermediary manages data flow between OT/IT data sources and various domain-specific models, coordinating their operations to produce comprehensive analytics results without requiring users to directly manage the complex underlying models.
2Productivity
If data analytics systems use domain-specific models with multiple parameters, then analytical results improve, but the skill level required for review and action increases
Solution Approach 1:
Each insight provider is self-contained with its own domain-specific model, configuration parameters, and visualization capabilities. The system automatically selects and applies appropriate models based on data type and user needs, eliminating the requirement for users to manually configure complex parameters or possess deep domain expertise in data science.
Solution Approach 2:
The system creates simplified copies or representations of complex analytical models through standardized insight providers. Each provider offers a pre-configured interface that replicates the functionality of complex domain models but presents them in an user-friendly manner, allowing domain users to access advanced analytics without needing to understand the underlying complexity.
3Adaptability or versatility
If the system processes multiple data types (OT and IT data) through multiple insight providers, then comprehensive analytics coverage improves, but resource intensity increases
Solution Approach 1:
The system dynamically selects and activates only the insight providers necessary for the current analytical task based on the type of data being processed and the user's specific needs. This dynamic activation allows the system to provide comprehensive analytics coverage across multiple domains while consuming resources only when and where needed, rather than continuously running all insight providers.
Data Source
AI summary
Methods, systems, and computer-readable storage media for providing insight providers, each including a logic component and a configuration component, each logic component including a respective domain-specific model, and each configuration component including parameter values for processing data using the respective domain-specific model, receiving a set of assets including data indicative of one or more assets, retrieving asset data associated with the set of assets, the asset data including OT data and IT data, the OT data being provided from networked devices, the IT data being provided from one or more enterprise systems, processing the OT data and the IT data using respective domain-specific models of the logic components of the insight providers to provide a result set, the result set including one or more of a second set of assets and enriched data, and transmitting graphical representations for display in GUI that are respectively specific to an insight provider.