Data Gyro Bulb for Analyzing Metric Gaps

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Solution Overview

Problem

Current data analysis systems are inefficient and unintuitive for interpreting and summarizing the differences between actual and target values over sequences, lacking structured analytical frameworks and display architectures to effectively model insights and recommendations, leading to time-consuming and incomplete analyses.

Innovation Solution

An informatics system utilizing AI technology to calculate and assess derivative metrics, including current and cumulative gaps and trends, to facilitate a zero gap and zero trend between actual and target values, generating a data gyro bulb that provides signals for maintaining targeted states and offering insights through graphical displays and alerts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional data analysis systems are used to interpret differences between actual and target values over sequences, then the analysis can be performed, but the process is time-consuming and the interpretation is difficult and incomplete

Engineering Contradiction:
Improvedata analysis efficiencyVSAvoidtime required for analysis
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent segments the data analysis process into distinct components: actual values, target values, and gap values. Each component is processed and visualized separately through structured display architectures, allowing for more efficient and comprehensive analysis of differences between actual and target values over sequences.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces additional dimensional representations of data by displaying not only the magnitude of gaps but also their trajectories and patterns over time sequences. This multi-dimensional visualization approach enables more intuitive and complete interpretation of data differences without increasing analysis time.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Loss of information

If traditional display architectures are used to show metric differences, then data can be presented, but the display is inefficient in space usage and lacks intuitive structure

Engineering Contradiction:
Improveanalytical insight completenessVSAvoiddisplay space efficiency
Core Design Contradiction:
Loss of informationVSArea of stationary object

Solution Approach 1:

The patent merges multiple analytical perspectives (actual values, target values, gap magnitudes, and gap trajectories) into a unified structured display architecture. This integration preserves complete analytical information while optimizing display space through coordinated presentation of related data elements.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The structured display architecture serves multiple analytical functions simultaneously: it displays current gap values, historical gap trajectories, patterns of deviation, and comparative analysis of actual versus target values. This multi-functionality ensures complete analytical insight within an efficient display framework.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If sequential comparative analysis of actual and target data is performed manually, then detailed insights can be obtained, but the process is time-consuming and difficult to interpret

Engineering Contradiction:
Improveanalysis precisionVSAvoidsystem structural complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces structured display architectures as intermediary representations between raw sequential data and human interpretation. These displays serve as mediators that automatically organize and present gap values and trajectories in intuitive structures, maintaining analytical precision while reducing the complexity of manual interpretation.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20240086790A1Data GYRO bulb for illuminating and analyzing differences between metrics and targets over sequences to assess, alert, and achieve and maintain targeted states
Publication Date: 2024.03.14 DATA WHEEL ANALYTICS INC
  • US20240086790A1 patent drawing
  • US20240086790A1 patent drawing
  • US20240086790A1 patent drawing

AI summary

Data gyro bulb and associated technology are provided. For example, an electronic informatics system is provided comprising sequential data stream of data blocks. The stream comprises a genesis data block, and each data block of the stream includes a sequence order identifier, an actual value, and a target value. The system also includes metrics that each includes one or more metric components selected from a current gap, a current trend, a cumulative gap, and a cumulative trend. A derivative metric is calculated at each of the data blocks. A derivative assessing means assesses derivative metrics in a manner that is consistent with zero, that is neither substantially positive nor substantially negative, representing a targeted and/or stable state between the actual value and the target value. The system operates via gyro, bot, and/or user adjustment technology to carry out data processing to produce a data gyro bulb.