Glossary-Based KPI Generation Platform
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Solution Overview
Problem
Defining and implementing Key Performance Indicators (KPIs) for Business Process Management (BPM) is a laborious, non-standardized, and often manual process that can lead to disagreements and inefficiencies due to differences in terminology and measurement techniques, making it difficult for organizations to effectively track progress towards their goals.
Innovation Solution
A platform and method that utilizes a correlation engine and multiple glossaries to enable organizations to automatically or semi-automatically generate personalized performance indicators by receiving operator input, selecting relevant glossary terms, and correlating them to define measurable KPIs, thereby standardizing the creation of BPM tools and facilitating progress tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual processes are used to define and implement KPIs, then flexibility in customization is improved, but labor intensity and time consumption increase
Solution Approach 1:
The system performs preliminary actions by pre-defining standardized KPI templates, measurement methodologies, and terminology glossaries in advance. These pre-configured elements are stored in the system and can be automatically selected and applied based on organizational needs, eliminating the need for manual creation of each KPI from scratch while maintaining customization through template selection and parameter adjustment.
Solution Approach 2:
The system enables parameter changes by allowing organizations to select from predefined KPI templates and modify specific parameters such as measurement thresholds, time periods, and target values. The standardized framework supports customization through parameter adjustment rather than requiring complete manual redefinition, thus reducing time consumption while preserving adaptability.
2Adaptability or versatility
If manual KPI definition processes are used, then detailed customization is improved, but disagreement and non-standardization increase
Solution Approach 1:
The system segments the KPI definition process into standardized components including pre-defined templates, measurement methodologies, data sources, and terminology glossaries. Each component is independently standardized and can be selectively combined through configuration rather than manual creation, ensuring consistency across different KPIs while allowing customization through component selection and parameter adjustment.
Solution Approach 2:
The system implements universality by creating a standardized framework that serves multiple functions: defining KPIs, establishing measurement methodologies, managing terminology glossaries, and enabling automated monitoring. This universal framework ensures consistency across all KPIs while allowing customization through configuration options, reducing disagreements by providing a common standardized basis for all organizational measurements.
3Productivity
If automated systems are implemented for KPI generation, then productivity is improved, but complexity of the system increases
Solution Approach 1:
The system uses copying by providing pre-defined KPI templates and measurement methodologies that can be replicated and applied across multiple contexts. Instead of creating each KPI manually, the system copies standardized templates and adapts them through parameter configuration, significantly improving productivity while keeping the system relatively simple through template-based replication rather than complex custom development for each KPI.
4Reliability
If standardized frameworks are used for KPI definition, then measurement consistency is improved, but adaptability to specific organizational needs decreases
Solution Approach 1:
The system implements dynamics by designing a flexible standardized framework where KPI templates and parameters can be dynamically configured and adjusted based on specific organizational needs. The framework maintains measurement consistency through standardized structures while allowing customization through dynamic parameter selection, modification, and combination, enabling organizations to adapt the standardized framework to their specific contexts without sacrificing measurement reliability.
Data Source
AI summary
A method for providing discovery and realization of business measurement concepts may include providing at least one interface configured to receive an input from an operator associated with an organization, determining a selected set of glossary terms from a repository including a plurality of glossaries based at least in part on the input where the glossaries relate to different performance indicator components that are combinable to define a measurable performance indicator, and generating at least one performance indicator of the organization based on the selected set of glossary terms.