Assisted Analytics Measure Factory for Workflow Outlier Detection
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Solution Overview
Problem
Existing systems require significant human expertise to analyze business performance data, leading to inefficient and non-transferable manual processes that burden organizations, and lack the capability for comprehensive, automated analytics.
Innovation Solution
A computer-implemented measure factory and assisted analytics circuit that collects, analyzes, and reports performance measures, identifying outliers and recommending procedures through automated statistical analysis and dashboard alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis by business analysts and programmers is used, then expertise-based performance measurement can be achieved, but the process becomes inefficient and creates ongoing organizational burden
Solution Approach 1:
The system enables self-service analytics by allowing business users to independently perform complex data analysis without requiring expert analysts. The automated analytics engine processes data and generates insights autonomously, eliminating the need for manual intervention while maintaining high measurement precision through consistent application of analytical rules
Solution Approach 2:
The patent replaces the mechanical manual analysis process with an automated computational system. The analytics engine uses algorithms and automated data processing to substitute human analysts and programmers, dramatically improving productivity while maintaining or enhancing measurement accuracy through systematic computational methods
2Productivity
If comprehensive automated analytics are implemented, then analysis speed and coverage are dramatically improved, but system complexity increases
Solution Approach 1:
The system segments the complex analytics process into distinct functional modules: data collection from multiple sources, data processing and cleaning, analytical engine execution, and result presentation. This modular segmentation manages system complexity by organizing functions into independent, manageable components that can be developed and maintained separately while achieving comprehensive automated analytics at high throughput
3Measurement precision
If manual investigation is used to track down sources of variance, then detailed analysis can be performed, but significant time and resources are consumed
Solution Approach 1:
The system performs preliminary automated analysis to identify potential sources of variance before human investigation is needed. The analytics engine pre-processes data, detects anomalies, and prioritizes investigation targets, so when manual review is required, it focuses only on pre-identified high-priority areas rather than conducting broad manual investigations
Data Source
AI summary
Predicting a change in a business workflow performance measure includes a measure factory rule produced outlier detecting step, a difference-over-time outlier contributing data element determining step, a different business workflow performance measure identifying step for the contributing data element, an outlier prediction step for the different business workflow performance measure as derived from the contributing data element, and a step for alerting a user when the predicted outlier falls outside a pattern for business workflow performance measures.