Analytical Tool for Change Management Using Cluster Analysis
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Solution Overview
Problem
Traditional measurement tools are inadequate for assessing complex interactions and changes in entities, leading to unreliable results and poor management of performance outcomes, as they fail to account for multidimensional variables and moderating factors.
Innovation Solution
A method and system for generating an analytical tool using cluster analysis and a database to organize source data into a two-dimensional or three-dimensional mapping, allowing for the assessment of an entity's state by analyzing inter-relationships between drivers such as performance success factors, change, and people factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional measurement tools are used to assess entity state, then the assessment process is simple and quick, but the reliability and precision of the assessment results deteriorate due to inability to account for complex interactions and multidimensional variables
Solution Approach 1:
The patent segments the complex assessment system into multiple dimensions (e.g., organizational, individual, environmental factors) and variables within each dimension. This segmentation allows the tool to handle complexity systematically while maintaining precision by analyzing each segment separately and integrating results comprehensively.
Solution Approach 2:
The patent transitions from traditional single-point-in-time assessment to multi-dimensional assessment across time, space, and multiple variables. This dimensional expansion enables the tool to capture complex interactions and changes while maintaining analytical precision through structured multidimensional analysis.
2Ease of operation
If traditional averaging methods are used to simplify data, then the complexity is reduced and ease of use improves, but the reliability deteriorates due to loss of important variable interactions and moderating factors
Solution Approach 1:
The patent segments variables into distinct dimensions and categories rather than averaging them together. This segmentation preserves the unique characteristics and interactions of each variable while organizing data in a manageable structure that maintains both reliability and ease of analysis.
Solution Approach 2:
The patent applies different analytical treatments to different variables and dimensions based on their specific characteristics and relationships. This local quality approach ensures that each variable is analyzed appropriately for its nature and context, preserving reliability while maintaining operational ease through targeted analysis methods.
3Productivity
If statistical analysis is used to establish links between behavior and performance, then some analytical capability is provided, but the productivity and practical value deteriorate due to inconclusive results and time-consuming processes
Solution Approach 1:
The patent performs preliminary structuring and organization of variables and dimensions before conducting analysis. This preliminary action prepares the data framework in advance, enabling faster and more efficient analysis that delivers conclusive results without time-consuming iterative processes, thereby improving productivity.
Solution Approach 2:
The patent incorporates feedback mechanisms that provide actionable insights and validate analysis results against expected outcomes. This feedback loop ensures that analysis produces practical, conclusive results that directly support change management decisions, reducing the need for repeated analysis and improving overall productivity.
Data Source
AI summary
A method and system of generating an analytical tool for use in assessing a state of an entity is described. The method comprises retrieving source data relating to a state of a community of which the entity forms a part, the source data resulting from a data collecting and analysis mechanism and the source data relating to at least one variable and the, or each, variable comprising a plurality of drivers; performing cluster analysis on the source data to produce an array of reference data; and organizing the array of reference data into a form to be used in analyzing data collected from the community. An analytical tool for use in assessing the state of an entity is also described and comprises an array of cells, each cell containing a subset of reference data which provides a measure of each driver related to the state of a community of which the entity forms a part, and the positioning of the cells relative to one another being governed by the inter-relationship of the reference data contained in the cells.