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Rationalizing Reference Progression

01.030.031.020.120 v20260810.001

Change Log

Purpose and Transition

The Rationalizing Reference Progression illustrates the transition from M2 Normalized to M3 Rationalized.

It describes common ways in which a repeatable baseline is simplified, reconciled, and made coherent by removing, consolidating, or justifying duplication, conflict, redundancy, unnecessary variation, avoidable handoffs, and disproportionate complexity.

Reference Posture

This Reference Progression is illustrative and non-exhaustive. It does not require centralization, uniformity, or elimination of every variant. Registered Progression Patterns and a subject-specific Progression Application determine what must be rationalized and what variation should be retained.

Typical Transition Conditions

Advancement may be justified where:

  • multiple normalized Practices or operating models conflict;
  • duplicate Platforms, Products, data sources, controls, or roles increase burden;
  • handoffs, variants, and exceptions create avoidable friction;
  • authoritative definitions or sources are unclear;
  • local standardization has produced enterprise incoherence;
  • structural complexity impairs value, evidence, continuity, or decision quality;
  • the value of simplification exceeds the cost and risk of change.

Value Realization Pillar Relationships

Role Illustrative Pillars Rationale
Primary Practices Pillar, Platforms Pillar, Products Pillar Rationalization commonly simplifies methods, foundations, propositions, information, and interfaces.
Contributing Players Pillar, Partners Pillar, Projects Pillar Roles, counterparties, and governed change are necessary to reconcile ownership, dependencies, and transition.
Affected All six Pillars Consolidation and simplification can alter work, authority, services, systems, relationships, and portfolios.
Evidence-producing Practices Pillar, Platforms Pillar, Products Pillar, Partners Pillar Variant inventories, dependency records, telemetry, service evidence, contracts, and operating outcomes support designation.

Illustrative Priority Outcomes and Effects

Possible Priority Outcomes

  • Complexity Optimization;
  • Capability Optimization;
  • Cost Optimization;
  • Control Optimization.

Possible Contributing or Protected Effects

  • Continuity Optimization;
  • Compliance Optimization;
  • Consumption Optimization;
  • Commitment Optimization;
  • Capital Optimization;
  • Capacity Optimization;
  • Contribution Optimization;
  • Confidence Optimization.

Rationalization should protect justified local variation, resilience, optionality, and regulatory or customer-specific requirements.

Illustrative Plays and Efforts

  • Inventory Material Variants. Identify Practices, roles, controls, data sources, Platforms, Products, and Partner arrangements that differ materially.
  • Map Dependencies and Handoffs. Expose relationships, interfaces, delays, and failure points.
  • Establish Authoritative Sources. Define controlling data, terminology, ownership, and decision rights.
  • Reconcile Conflicting Definitions and Controls. Resolve semantic, policy, and governance inconsistency.
  • Consolidate Redundancy. Combine duplicate components where net value is improved.
  • Retire Obsolete Components. Remove Practices, assets, reports, controls, and arrangements that no longer justify their burden.
  • Justify Retained Variation. Record the value, risk, legal, market, or operating rationale for differences that remain.
  • Simplify Interfaces. Reduce avoidable handoffs and complexity while preserving required controls and resilience.
  • Validate the Surviving Model. Confirm that simplification preserves or improves required outcomes.

Illustrative Practices and Proficiencies

Possible Practices include variant analysis, dependency mapping, semantic reconciliation, portfolio rationalization, control harmonization, decommissioning, disposition governance, and post-change validation.

Possible Proficiencies include systems analysis, root-cause identification, trade-off analysis, authoritative-source design, controlled retirement, dependency management, and value-based disposition judgment.

Enabling Conditions

Common enabling conditions may include:

  • reliable inventory and ownership records;
  • sufficient operating and cost evidence;
  • authority to reconcile or retire components;
  • dependency and continuity analysis;
  • Partner and contractual visibility;
  • migration, transition, and decommissioning capacity;
  • common semantic and data foundations;
  • controls for retained exceptions and local variation;
  • Projects or Initiatives to execute material consolidation;
  • a defined counterfactual and lifecycle value analysis.

Illustrative Evidence

  • reduced unjustified variants and duplicated components;
  • retired or consolidated assets, Practices, Products, or Platforms;
  • reconciled terminology, data, controls, and ownership;
  • reduced handoffs, rework, delay, and support burden;
  • traceable rationale for retained variation;
  • improved information lineage and decision clarity;
  • consistent use of the surviving operating model;
  • evidence that simplification preserved required outcomes, continuity, and controls.

Characteristic Value Enablement

  • reduced structural and technical debt;
  • lower duplication and maintenance burden;
  • clearer accountability and authority;
  • improved information coherence;
  • fewer avoidable handoffs and conflicts;
  • stronger continuity and control foundations;
  • reduced cost and complexity leakage;
  • a coherent foundation for Optimizing.

Characteristic Value Risk

  • indiscriminate centralization;
  • removal of justified local variation;
  • concentration and single-point dependency;
  • loss of resilience or optionality;
  • oversimplification of legitimate complexity;
  • cost reduction that impairs outcomes;
  • transition risk and stranded dependencies;
  • declared consolidation without actual retirement.

Boundary Conditions and False Positives

The following do not independently establish M3 Rationalized:

  • reducing headcount without simplifying the operating model;
  • selecting one Platform while duplicate Platforms remain active;
  • declaring one source authoritative without changing actual use;
  • process mapping without disposition of obsolete variants;
  • centralizing decisions without improving coherence or value;
  • eliminating differences without examining their purpose;
  • reducing cost while increasing continuity, compliance, or Partner risk.
  • Variant Inventory and Disposition;
  • Authoritative Source Establishment;
  • Semantic Reconciliation;
  • Duplicate Platform and Product Consolidation;
  • Control Reconciliation;
  • Handoff Simplification;
  • Obsolete Component Retirement;
  • Justified Variation Governance;
  • Dependency-Aware Decommissioning.

Limitations

Rationalized maturity establishes coherence and proportionality. It does not prove that the surviving model is systematically improving or producing optimal value. Those conditions are addressed through the Optimizing Progression where justified.