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Overview

The taxonomy of pillars, capability areas, capabilities, and their measurable abilities or summaries.

Pillar Area   Capability Measurable ability
Business Pillar
Business Strategy Actuation
A.1.1 Business Vision Communicating the essence of what a business wants to achieve.
A.1.2 Business Goals Specifying the Business Outcomes along the EKG journey to achieve the Business Vision.
A.1.3 Business Tactics Ensuring that change capabilities are focused on business value realization.
Business Model Elaboration
A.2.1 Market Segmentation Shared understanding of markets, products, and clients.
A.2.2 Value Chain Alignment of business capabilities with EKG pathway.
A.2.3 Change Management Manage operations change to a new state of sustainable value.
Business Enablers
A.3.1 Operating Model The desired level of business process integration & standardization.
A.3.2 Performance Management Measure business processes to manage performance.
A.3.3 Risk Management Identify risk to mitigate or accept, with reaction plans.
A.3.4 Supply Chain Management Managed flow of goods, services & information between businesses.
A.3.5 Scalability Assessment Assessing scalability (work in progress).
A.3.6 Capability Map Defining what a business does and which outcomes it wants to achieve.
Organization Pillar
Executive Leadership
B.1.1 Organizational Strategy Organizational mandate and strategic support for the EKG.
B.1.2 Organizational Policies EKG alignment with the views and values of the organization.
B.1.3 Funding and Resources Funding process and resource allocation for the EKG.
B.1.4 Technology Requirements CIO support for EKG (where EKG fits in the overall technology stack).
B.1.5 Organizational Processes Alignment of EKG with business architecture.
B.1.6 Organizational Governance Process for aligning EKG with organizational accountabilities.
Product Ownership
B.2.1 Use case Requirements Identification/prioritization of EKG use case requirements.
B.2.2 Funding & Budget Annual and multi-year funding process.
B.2.3 Delivery Process Management of statements of work for business outcomes.
B.2.4 Measurement Criteria Business metrics and criteria for evaluating the EKG.
B.2.5 Team Requirements Management Identification and management of skill sets needed for the EKG.
Delivery Management
B.3.1 Data-movement Process for extracting/transforming data from source-to-EKG.
B.3.2 Ontologies & Mapping Continuous improvement of ontologies and use cases and data products that rely on them.
B.3.3 DataOps Process Rules and standards for building, testing, and maintaining the EKG.
B.3.4 User Interface and Access Methodology for facilitating end-user access to data.
B.3.5 EKG/Platform Team Requirements and accountabilities for managing the [EKG/Platform](https://method.ekgf.org/vocab/ekg-platform/).
Organizational Culture
B.4.1 Implementation Approach Build versus buy decisions.
B.4.2 Agility & Innovation Empowerment, adaptability and failure tolerance.
B.4.3 Ecosystem Collaboration Alignment with technology, business, and operations.
Organizational Capabilities
B.5.1 Control Functions Coordination with privacy, legal, security, records management.
B.5.2 Vendor Management Acquisition and licensing of vendor products.
B.5.3 Talent Management Skills acquisition, retention and training.
B.5.4 Knowledge Sharing Ability of the organization to facilitate knowledge collaboration.
Data Pillar
Data Strategy
C.1.1 Goals & Objectives EKG as the semantic data mesh for the organization.
C.1.2 Business Case Business rationale, justification and ROI of the EKG.
Data Architecture
C.2.1 Ontologies The _models_ that provide the structure and meaning for the information.
C.2.2 Business Vocabularies Terms used to refer to the information by different business communities.
C.2.3 Datasets Coherent collections of information made available for access.
C.2.4 Data Integration Unifying or relating different information concepts.
Data Quality
C.3.1 Business Rules Strategy and approach for managing data quality.
Data Governance
C.4.1 Operating Model Structure and approach for the EKG Center of Excellence.
C.4.2 Data Management Policy Policies, procedures, and standards for managing the data lifecycle.
C.4.3 Classification Management Management of the data production and manufacturing process.
C.4.4 Risk & Control Framework Model-driven EKG access control mechanisms.
Technology Pillar
Technology Strategy
D.1.1 Technology Architecture Plans for physical infrastructure, applications, and automation.
Technology Execution
D.2.1 Identifier Resolution Standards for ensuring content is identified and resolvable.
D.2.2 Data Integration Ability to source and integrate data (consolidate silos).
D.2.3 Operations Deployment and maintenance requirements for the EKG.
D.2.4 Observability Exploring properties and patterns of the overall EKG infrastructure
D.2.5 Business Continuity Continued business operations during unplanned [EKG/Platform](https://method.ekgf.org/vocab/ekg-platform/) disruption.
D.2.6 Data Quality Implementation Technical implementation of data quality framework.
D.2.7 Analytics Technical implementation of analytics facilities.
D.2.8 Inferencing Rules Inferring new facts from existing facts by means of ontologies.
D.2.9 Entitlement Management Enforcing fine-grained context-specific entitlement policies.
D.2.10 Data Transformation Execution Governed automated orchestration of data transformation.
D.2.11 Knowledge Graph Storage & Retrieval Semantic data storage managed by the [EKG/Platform](https://method.ekgf.org/vocab/ekg-platform/).
D.2.12 Knowledge Graph Federation Model-driven federated interoperable and distributed data platforms.
D.2.13 Knowledge Graph Virtualization Model-driven views on data of any source leaving it in-place.
D.2.14 Large language model AI Leveraging the power of LLM AI
User Interface
D.3.1 Search Standards and tools for finding relevant data across the enterprise.
D.3.2 Collaboration ... todo ...
D.3.3 Multilingual Support ... todo ...
D.3.4 Content Editing ... todo ...
D.3.5 Reporting ... todo ...
D.3.6 Visualization ... todo ...

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