New Jersey, 2021, Carl Mattocks

Introducing the EKG Matrix Plot & KGI Value

The Enterprise Knowledge Graph (EKG) 0-5 Level Maturity Model is an industry-standard knowledge management guideline with topics that support an evidence-rating system for organizational use of Knowledge Graphs (KG).

In particular, it uses Pillars of meta-knowledge, each containing a collection of subject area specific assessment criteria that are the related dimension values of distinct maturity metrics.

EKG Matrix Plot

An EKG Matrix is a scatterplot of grouped maturity metrics that can be used to compute the Maturity Level of a particular business area. Which may be scoped as a group of value stream Business Use Cases that graphed the build / operation of systems enabling capabilities. Equally a Matrix Plot defined with a Business Capability Axis, and a Dimension / Pillar Axis could provide group maturity metrics for All Business Use Cases that are measured across specific Pillars --- e.g. Organization, Data and Technology.

Note

Common vector elements are required to compute the sum of two or more Dimensions

Business Use Case – Enterprise Initiative Prioritization
EKG Matrix plot identifies Dimension/Pillar Maturity Levels: 2, 2, 3, 3, 2, 2

D/P	D/P	D/P	D/P	D/P	D/P
		xXx	xXx
xXx	xXx			xXx	xXx

Business Use Case – Merger and Acquisition Evaluation and Integration
EKG Matrix plot identifies Dimension/Pillar Maturity Levels: 3, 3, 4, 3, 3, 3

D/P	D/P	D/P	D/P	D/P	D/P
		xXx
xXx	xXx		xXx	xXx	xXx

Business Use Case – Identify Redundant Vendor Contracts
EKG Matrix plot identifies Dimension/Pillar Maturity Levels: 3, 3, 3, 3, 4, 3

D/P	D/P	D/P	D/P	D/P	D/P
				xXx
xXx	xXx	xXx	xXx		xXx

Knowledge Graph Indicator (KGI) Value

When in scope, a Matrix Plot for a named business --- EKG + Dimension have a common Business Identifier --- subject area specific assessment criteria may explicitly reference the evidence-rating of a Knowledge Graph Indicator (KGI). Wherein, the KGI is a type of Key Results Indicator that incorporates process outcome as a maturity factor. Whereas, content of the KG construct --- that lays out how specific business objects, events, situations are related --- has been subjected to a predefined treatment that inherently increased the value of that knowledge when utilized for the identified business capability. Whereby, a business capability may have one or more related dimension values that are unique to their value chain (of countable dimensional spaces).

For example:

• Business Impact Dimension : Readability > Understandability > Influenceability
• FAIR Principles Dimension : Findability + Accessibility + Interoperability

Note

Matrix Plot for Systems Interoperability may have two axis --- workflow and dataset

Evidence Rating Dimension

Evidence Rating Dimension is a countable dimensional space that indicates Quality of Evidence Level, such as, 5=High, 4=Moderate, 2=Low, 1=Very Low, 0=none. Further, the method & criteria used to determine quality of evidence level is published. As in:

• Formulaically: a process may be any combination of task, function, activity performed in a cycle that has a declared value + is specific to one or more Pillar dimensions.
• Semantically, a process outcome may be defined as a capability specific goal, objective, proposed value proposition or measurable result identified for a particular strategy, plan, tactic or use case.
• Cross Pillar specific use cases can have different cycles and outcomes e.g.
  • intellectual property safeguards
  • data privacy protections
  • information security controls
  • value chain definitions

Evidence that KG was subjected to a predefined treatment could be that at least one critical Dimension has a level greater than 0 (none). Which could include:

1. Actual process outcome was verified by semantic matching with planned outcome
2. Process treatment was designed to enhance the value for a structure composed of same types of business objects, events, situations
3. KGI Zone Parameters (which identify salient properties, such as, the beginning-edge and the ending-edge of the particular knowledge graph) are within stated range tolerances

Author: Carl Mattocks

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