Executive Diagnostic

Decision Intelligence Maturity Index (DIMI)

Strategic benchmarking across the four stages of enterprise intelligence evolution.

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Operational Posture (%)

Strategic Gap Analysis

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Strategic Reference Manual

MATURITY FRAMEWORK
Strategic Benchmarking: Organizations reaching Stage 4 typically experience a 20-30% increase in EBITDA through optimized decision velocity and the elimination of structural decision waste.
Strategy & Alignment
Decision Taxonomy
  • Stage 1 - Ad-hoc: Reactive decisions driven by unmapped intuition.
  • Stage 2 - Functional Silos: Departmental optimization without enterprise coordination.
  • Stage 3 - Standardized: Repeatable, data-backed rubrics for capital allocation.
  • Stage 4 - AI-Augmented: Human-machine simulation of strategic outcomes.
Value Realization
  • Stage 1 - Cost-center: Data treated as an IT expense to be minimized.
  • Stage 2 - ROI Tracked: Project gains measured but isolated.
  • Stage 3 - Value-stream: Data flows mapped directly to profit/loss generation.
  • Stage 4 - Asset Class: Data is a primary driver of enterprise value.
Data Architecture
Data Trust (MDM)
  • Stage 1 - Manual: High human effort (Excel/Emails) required to clean data.
  • Stage 2 - Basic MDM: Established "Golden Records" for customers/products.
  • Stage 3 - Automated: Managed pipelines that move data without human intervention.
  • Stage 4 - Self-healing: AI automatically remediates quality errors.
Accessibility Tiers
  • Stage 1 - Ticket-based: Business users wait for manual data fulfillment.
  • Stage 2 - Power User: Limited experts provide curated data access.
  • Stage 3 - Self-service: Broad BI tool access (Tableau/PowerBI) allows exploration.
  • Stage 4 - Embedded: Contextual insights delivered within native workflows (CRM/ERP).
Modeling & AI
Analytical Depth
  • Stage 1 - Descriptive: Reporting on "What happened?" (Hindsight).
  • Stage 2 - Diagnostic: Investigating variance to see "Why?" (Insight).
  • Stage 3 - Predictive: Statistical modeling to forecast "What next?" (Foresight).
  • Stage 4 - Prescriptive: Algorithmic guidance on "What to do?" (Optimization).
Model Governance
  • Stage 1 - No Oversight: Models live on local laptops without audit trails.
  • Stage 2 - Documentation: Models logged, but performance tracking is manual.
  • Stage 3 - MLOps: Professional deployment with tracking for "drift."
  • Stage 4 - Responsible AI: Formal frameworks for ethics and compliance.