Dynamic IT Service Value Tracing via Correlation Matrices
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Solution Overview
Problem
Traditional methods for articulating business value from IT services fail to represent various quality levels and direct measures of IT services effectively, relying on a single-scale value realization index (VRI) that does not capture the complexity of IT service delivery.
Innovation Solution
A method and system for dynamically tracing IT service value using a correlation matrix to represent relationships between dimensions, computing a relative value realization index (rVRI) based on a hierarchy of contextually related parameters, and generating a traceability matrix to visualize variations in rVRI due to dynamic parameter changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional VRI method using single-scale (0 to 100) is used, then simplicity of measurement is maintained, but ability to represent various quality levels and direct measures of IT services is lost
Solution Approach 1:
The patent segments the traditional single-scale VRI measurement into multiple dimensions (functional quality, non-functional quality, service quality, business value) with specific parameters for each dimension. This segmentation allows comprehensive representation of various quality levels while maintaining structured measurement through the correlation matrix framework.
Solution Approach 2:
The patent transitions from a one-dimensional single-scale measurement (0 to 100) to a multi-dimensional measurement system using correlation matrices. Each dimension represents different aspects of IT service quality, enabling precise representation of various quality levels through the hierarchical parameter structure and traceability matrices.
2Measurement precision
If multi-dimensional correlation matrix approach is used, then comprehensive representation of IT service value is achieved, but computational complexity and data processing requirements increase
Solution Approach 1:
The complex measurement system is segmented into manageable components: correlation matrices for relationship representation, hierarchical parameter structures for organization, and traceability matrices for tracking. This segmentation reduces computational complexity by breaking down the overall system into independent yet interconnected modules.
Solution Approach 2:
The patent introduces intermediate structures such as the correlation matrix and traceability matrix that mediate between raw service quality data and final value realization measurements. These intermediaries simplify data processing by pre-computing relationships and dependencies, reducing the computational burden on the overall system.
3Productivity
If dynamic tracing of rVRI variations is implemented, then real-time value realization monitoring is enabled, but data processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary computations by pre-establishing the correlation matrix and hierarchical parameter relationships. This preliminary structuring enables efficient dynamic tracing of rVRI variations, as the foundational relationships are already computed and stored, reducing real-time computational requirements.
Solution Approach 2:
The traceability matrix provides a feedback mechanism that efficiently tracks how changes in individual parameters propagate through the system to affect rVRI. This structured feedback approach enables real-time monitoring with reduced computational overhead by leveraging pre-computed relationships rather than recalculating entire models.
Data Source
AI summary
Disclosed is a method and system for dynamically tracing a value realized by an Information Technology (IT) service. The method may comprise generating a correlation matrix representing relationship between a plurality of dimensions associated with an IT service, wherein the correlation matrix is generated in form of a plurality of quadrants, wherein each quadrant represent the relationship between at least two dimensions. The method may further comprise capturing a hierarchy of parameters associated with the dimensions, wherein at least one parameter, in the hierarchy, is contextually related and dependent upon at least one other parameter. Further, the method may comprise computing a relative value realization index (rVRI) using the hierarchy of parameters, wherein the relative value realization index is indicative of value realized, by the IT service, with respect to the dimensions. Furthermore, the method may comprise generating a traceability matrix indicating correlation between the relative value realization index and the hierarchy of parameters. Further, the method may comprise tracing, using the traceability matrix, variation in the relative value realization index based upon dynamic variation of one or more parameters.