Just-in-time decision support analytics framework
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Solution Overview
Problem
In existing business application deployments, there is a disconnect between analytics consumption and operational decision/action execution, leading to information loss, time delays, and increased cognitive load due to separate analytic dashboards and irrelevant data presentations.
Innovation Solution
A framework for 'just-in-time decision support analytics' that provides users with context-specific analytics within the operational workflow UI, utilizing a client UI plugin, business objects detection module, and analytics engine to extract and present relevant insights directly in the workflow UI, reducing the need to switch between applications and sift through irrelevant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If analytic dashboards are designed for upper-level management review, then comprehensive organizational analytics are provided, but information loss and time delays occur when operational users need to act on the data
Solution Approach 1:
The patent segments the analytics data by operational context and user role, delivering customized analytics snippets to specific operational users based on their workflow context rather than providing a single comprehensive dashboard for all users. This segmentation eliminates information loss by providing each user with only the relevant analytics they need for their specific operational decisions.
Solution Approach 2:
The patent introduces an intermediary analytics delivery mechanism that bridges the gap between comprehensive organizational analytics and operational user needs. This intermediary system automatically extracts, contextualizes, and delivers relevant analytics insights to operational users within their workflow context, eliminating the need for manual information transfer and reducing time delays.
2Quantity of substance
If operational users are provided access to comprehensive analytic dashboards, then all organizational data is available, but cognitive load increases due to sifting through irrelevant data
Solution Approach 1:
The patent applies local quality by customizing analytics content based on specific operational context and user role. Instead of providing uniform comprehensive dashboards to all users, the system delivers tailored analytics snippets that are locally optimized for each user's specific workflow context, reducing cognitive load by eliminating irrelevant data while maintaining full data availability in the backend.
Solution Approach 2:
The patent extracts only the relevant analytics insights needed for specific operational decisions from the comprehensive organizational data pool. This extraction process removes irrelevant data from the user's view while maintaining the complete data set in the backend, significantly reducing cognitive load without sacrificing data availability.
3Loss of information
If users must switch between operational workflow UI and separate analytic dashboard, then comprehensive analytics are accessible, but time delay increases for operational decisions
Solution Approach 1:
The patent merges analytics delivery with the operational workflow UI by integrating analytics snippets directly into the user's current workflow interface. This integration eliminates the need to switch between separate applications or windows, allowing users to access relevant analytics information without leaving their operational context, thereby reducing decision time while maintaining analytics accessibility.
Data Source
AI summary
A framework for implementing just-in-time decision support analytics within a business application deployment are provided. In one set of embodiments, the framework enables an application user to be presented with analytics that are in-context and in-place with respect to an operational workflow carried out by the user, where “in-context” means that the presented analytics are directly relevant to, and tailored for, the specific business context of the user's operational workflow, and “in-place” means that the analytics are displayed to the user within the same UI/application used to execute the operational workflow, and at the same time the workflow is actually executed. These characteristics advantageously ensure that the user is provided with the insights he/she needs to make confident business decisions and facilitates real-time decision making for time-critical operations.