Insight Compute Device for Financial Data Analysis

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Solution Overview

Problem

Existing computer systems lack an efficient mechanism for institutions to analyze large datasets from various sources, requiring specialized teams with subject matter expertise to develop customized software for querying, analyzing, and presenting data insights.

Innovation Solution

The insight compute device provides a system for efficiently querying and analyzing data by enabling users to design data analysis models, perform cohort analysis, and identify anomalies through a user-friendly interface, eliminating the need for specialized teams.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If specialized teams develop customized software for data analysis, then analysis capability and precision are improved, but device complexity and resource requirements increase

Engineering Contradiction:
Improvedata analysis precisionVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system enables end-users to perform data analysis independently through a visual interface without requiring specialized technical expertise. Users can define their own analysis parameters, select data sources, and interpret results through intuitive graphical elements, eliminating the need for specialized software development teams while maintaining analysis precision.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent introduces an intermediary layer between users and complex data processing systems. This visual interface acts as a mediator that translates user-friendly selections into sophisticated analysis queries, allowing users to access precise analytical capabilities without directly interacting with complex underlying systems.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If customized software is developed for data querying and analysis, then analysis flexibility and adaptability are improved, but loss of time and resource consumption increase

Engineering Contradiction:
Improveanalysis flexibilityVSAvoidtime consumption
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system provides dynamic analysis capabilities where users can interactively adjust parameters, filters, and viewings in real-time. The visual interface allows for on-the-fly modifications to analysis queries and immediate reflection of changes in results, enabling flexible adaptation to different analytical needs without time-consuming software reconfiguration.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system pre-configures common analysis templates, data sources, and visualization options that can be quickly selected and modified. Users can build upon pre-established frameworks rather than creating analyses from scratch, significantly reducing the time required to achieve flexible analytical results.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If specialized teams are used for data analysis, then expertise and reliability are improved, but ease of operation deteriorates

Engineering Contradiction:
Improveanalysis reliabilityVSAvoiduser accessibility
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system empowers end-users to perform reliable data analysis independently through intuitive visual interfaces. Users can define their own analysis criteria, select appropriate data sources, and interpret results without requiring specialized technical expertise, thereby maintaining analysis reliability while dramatically improving ease of operation.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces complex mechanical software development and configuration processes with visual interaction mechanisms. Instead of requiring users to write code or configure complex parameters, users interact through graphical elements, drag-and-drop operations, and visual selections, making the system both reliable and easy to operate.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250190983A1Technologies for efficiently providing insights from data sets
Publication Date: 2025.06.12 PNC FINANCIAL SERVICES GROUP INC
  • US20250190983A1 patent drawing
  • US20250190983A1 patent drawing
  • US20250190983A1 patent drawing

AI summary

Technologies for efficiently providing insights from one or more data sets include a compute device. The compute device includes circuitry configured to obtain a data analysis model, constructed with a user interface provided by the compute device, to be applied to financial transaction data indicative of financial transactions pertaining to a set of financial accounts. The circuitry is also configured to apply the data analysis model to the financial transaction data to identify one or more insights indicative of anomalous behavior. Further, the circuitry is configured to present the one or more insights in the user interface.