Business Insight Generation via Fixed Benchmark Panel
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Solution Overview
Problem
Current information systems are cumbersome and time-consuming when accessing relevant human resources data for generating business insights, making it difficult to identify significant changes in business metrics over time or across sections of an organization.
Innovation Solution
A computer system that identifies organizational characteristics, applies inclusion criteria to select candidate organizations, creates a fixed panel of benchmark organizations, and generates business insights based on human resources data to present statistically-relevant insights into business metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If regular aggregation methods are used to generate metrics, then a bird's eye view of the organization is obtained, but the metrics are not insightful and do not provide deeper understanding into driving conditions
Solution Approach 1:
The patent segments the organization into multiple sections or departments and compares metrics across these segments. By dividing the overall organizational data into smaller, manageable sections and analyzing them individually and comparatively, the system reveals insights into specific driving conditions that would be lost in aggregate data alone.
Solution Approach 2:
The patent introduces temporal dimension by comparing metrics over time periods and spatial dimension by comparing across different organizational sections. This multi-dimensional analysis transforms static aggregate metrics into dynamic, multi-faceted insights that reveal patterns and driving factors across time and space.
2Quantity of substance
If human resources data is accessed using current information systems, then data can be retrieved, but the process is cumbersome and time-consuming
Solution Approach 1:
The patent performs preliminary actions by pre-processing and organizing human resources data into structured formats before it is needed for analysis. Data is cleaned, transformed, and arranged in advance according to organizational sections and time periods, so that when queries are made, the data is already prepared and readily accessible, significantly reducing retrieval time.
Solution Approach 2:
The patent introduces an intermediary processing layer between raw human resources data and the final analytics output. This intermediary layer includes data cleaning, transformation, and organization components that bridge the gap between raw data storage and analytical needs, making data access more efficient and less cumbersome.
3Device complexity
If single metrics are used to represent organizational performance, then simplicity is maintained, but deeper understanding into turning points and driving conditions is lost
Solution Approach 1:
The patent segments each metric into multiple components or sub-metrics that can be analyzed individually. Instead of treating a single metric as a monolithic data point, the system breaks it down into constituent elements across different organizational sections and time periods, enabling detailed analysis of driving conditions while maintaining overall metric structure.
Solution Approach 2:
The patent implements a nested analysis structure where metrics are contained within organizational sections, which are contained within time periods, and so on. This nested arrangement allows the system to maintain simple outer metric structures while embedding complex detailed analyses within, revealing driving conditions at multiple levels of granularity.
Data Source
AI summary
A method, apparatus, and computer program product for digitally presenting statistically-relevant business insights into a set of business metrics for an organization. A computer system identifies a set of organizational characteristics from human resources data of employees of a plurality of organizations, and applies a selected inclusion criteria to the set of organizational characteristics to identify a set of candidate organizations. The computer system identifies a set of benchmark organizations from the set of candidate organizations, and creates a fixed panel of the benchmark organizations. The computer system applies the fixed panel to the human resources data of employees of a plurality of organizations to create an analysis dataset that consists of human resources data of employees of the benchmark organizations. The computer system generates a business insight into the set of business metrics of the organization based on the analysis dataset, and digitally presents the business insight.