Configurable Dashboard Metric Groups for Real-Time Business Visibility
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Solution Overview
Problem
Business applications lack real-time visibility and configurability, making it costly and time-consuming for users to develop business intelligence solutions, as they often require complex integration with third-party tools or in-house development.
Innovation Solution
A dashboard application that allows users to customize and view business metrics by creating a display hierarchy, filtering, and categorizing data, providing real-time visibility and configurability to meet specific user needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If business applications are used to manage business processes, then business process management capability is improved, but real-time visibility into business process health is lost
Solution Approach 1:
The system separates business process management functions from business intelligence functions. The business application continues to manage processes while the dashboard application separately provides real-time visibility into process health through configurable metric groups, allowing both functions to operate independently without interfering with each other
Solution Approach 2:
A dashboard application serves as an intermediary layer between the business application and the user. It connects to the business application via communication components to retrieve data, then presents processed and organized metric information through a user-friendly interface, bridging the gap between process management and process monitoring
2Adaptability or versatility
If third-party business intelligence tools are purchased to integrate with business applications, then business intelligence capability is improved, but cost and integration complexity increase
Solution Approach 1:
The dashboard application is designed with universal functionality to work with multiple different business applications through standardized communication components. It can connect to various data sources and present information in consistent formats, eliminating the need for application-specific business intelligence tools
Solution Approach 2:
The system enables end-users to configure and customize their own dashboard displays, metric groups, and data presentations without requiring specialized integration knowledge. Users can independently adjust parameters, select metrics, and modify presentations through intuitive interfaces, eliminating dependence on complex integration processes
3Adaptability or versatility
If in-house business intelligence solutions are developed, then customization capability is improved, but development time and resource requirements increase
Solution Approach 1:
The dashboard application provides dynamic configurability where users can adjust metric groups, data presentations, and display parameters in real-time without requiring development resources. The system adapts to user needs through runtime configuration rather than requiring pre-development customization
Solution Approach 2:
Users can create and save template configurations of metric groups and presentations that can be copied and reused across different contexts. This eliminates the need to rebuild configurations from scratch and allows rapid deployment of customized views
Data Source
AI summary
A dashboard application can enable a user to quickly view data (and, in a particular aspect, data from one or more business applications) in an efficient manner. The dashboard application can be used to view data about one or more metrics that reflect the performance of a business, as derived from data maintained (perhaps in an associated data store) by the business application(s). In an aspect, a user can select two or more metrics to be displayed on a summary page and/or can invoke a detail page to view detailed information about one of the two or more metrics.