Automated Dashboard Generation via Organizational Data Correlation

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Solution Overview

Problem

Creating custom dashboards for monitoring application performance is a labor-intensive task, as existing solutions require manual creation and lack automated approaches for correlating end user response time monitoring data with infrastructure ownership and organizational structures.

Innovation Solution

A method that correlates end user response time monitoring data with an infrastructure ownership database and organizational structure using unique identifiers, enabling the automated generation of custom dashboards on a display device, showing application performance data relevant to the user's hierarchical level.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual dashboard creation is used, then customization capability is improved, but labor intensity and time consumption increase

Engineering Contradiction:

Improvecustomization capabilityVSAvoiddashboard creation efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system pre-correlates infrastructure ownership data with organizational structures and pre-defines dashboard templates for different hierarchical levels. When a user logs in, their hierarchical level is automatically determined and the corresponding pre-configured dashboard template is applied, eliminating manual creation steps while maintaining customization.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system automatically generates dashboards based on user input data and hierarchical level without requiring manual configuration. The dashboard generation process serves itself by automatically correlating data, determining user levels, and applying appropriate templates, thus improving productivity while maintaining adaptability.

Inventive Principle:

Principle #25Self-service

2Productivity

If automated dashboard generation is implemented, then productivity is improved, but system complexity increases

Engineering Contradiction:

Improvedashboard generation speedVSAvoiddata correlation system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system uses a universal data correlation mechanism that works across different hierarchical levels and dashboard types. The same correlation logic and template system serve multiple purposes: determining user level, selecting dashboard templates, and populating data, thus managing complexity while maintaining high productivity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system manages complexity by changing parameters rather than structure. It adjusts dashboard content based on user hierarchical level parameters, data correlation results, and template selections, allowing automated generation without requiring complex structural changes for each dashboard type.

Inventive Principle:

Principle #35Parameter changes

3Loss of information

If data correlation with organizational structure is performed, then data relevance is improved, but processing time increases

Engineering Contradiction:

Improvedata relevanceVSAvoiddata processing time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system extracts only the necessary data elements needed for dashboard generation - specifically correlating infrastructure ownership with organizational structure and user hierarchical level. By extracting only relevant data rather than processing all available data, it maintains high data relevance while minimizing processing time.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system performs data correlation and hierarchical level determination in advance before dashboard rendering. This preliminary processing ensures data relevance is established beforehand, allowing the actual dashboard generation to be快速 without sacrificing data quality or relevance.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS10169444B2Automated generation of custom dashboards for viewing application performance data

Publication Date: 2019.01.01 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A method and system are provided. The method includes correlating end user response time monitoring data from an end user response time monitoring system to an infrastructure ownership database. The method further includes correlating the infrastructure ownership database to an organizational structure, using a unique identifier available in both the infrastructure ownership database and the organizational structure. The method also includes automatically creating, on a display device, a custom dashboard for a user logging into the end user response time monitoring system based on correlations resulting from the correlating steps. The custom dashboard shows application performance data for applications relevant to the user based on the hierarchical level of the user in the organizational structure.