
Introduction
Digital maturity is the degree to which an organization strategically, operationally, and culturally leverages technology to create value at scale. A digital maturity model is a structured way to benchmark capabilities, assess readiness, and guide transformation roadmaps. In simple terms, it answers the question: what is a digital maturity model and how does it help? Variants include the digital transformation maturity model, the digital capability maturity model, and other frameworks that describe digital maturity levels or stages.
If you’d rather start with a structured self-serve assessment, you can use our digital maturity assessment platform to run the survey and scoring yourself.
Yet, a persistent gap exists: while most models emphasize strategy and business alignment, they provide limited support for implementation and migration—where change actually happens.
The Current State of Digital Maturity Models
Maturity frameworks have evolved from foundational models such as CMM and COBIT to diversified, domain-specific digital maturity frameworks. A systematic literature review (ISPIM Innovation Conference, June 2020) found that strategy and business layers dominate model design, while explicit Implementation & Migration guidance appears in only 1 of 23 models—highlighting a structural bias toward vision over execution. Most models describe sequential digital maturity levels or a digital maturity scale, but rarely offer guidance on how to progress from one stage to the next.
Why organizations use DMMs
Organizations adopt digital maturity models for benchmarking, planning, and self-assessment: to identify gaps, prioritize investments, align leadership, and structure roadmaps. Companies often rely on a digital maturity assessment tool or self-assessment to evaluate their current state and compare against a digital maturity benchmark. However, without a robust execution layer, the path from assessment to outcomes remains ambiguous.
The Critical Missing Piece: Execution
Implementation is the most difficult stage of transformation because it requires orchestrating people, process, technology, data, and governance across multiple horizons. It demands sequencing initiatives, managing interdependencies, and adapting to organizational constraints—capabilities often underrepresented in most digital maturity assessment frameworks.
Misaligned investments
Budgets flow to high-level ambitions instead of the capabilities and enablers required to deliver measurable outcomes.
Digital fatigue
Teams burn out on disconnected pilots and initiatives that don’t scale or show clear value.
Inability to scale
Promising proofs-of-concept stall due to missing operating-model changes, change management, and platform readiness.
How to Add an Implementation & Migration Layer to Your Digital Maturity Model
To make digital maturity models actionable, integrate an explicit Implementation & Migration layer that bridges strategy to delivery. This layer includes structured patterns for planning, sequencing, and tracking initiatives, ensuring that maturity assessments translate into concrete roadmaps and measurable outcomes.
Why Strategy Without Execution Fails
As with business strategy that lacks operational alignment, digital strategies fail without instrumentation for delivery. Technology adoption alone is not transformation; value emerges when strategy is linked to processes, roles, funding, and performance measures. Organizations that underweight execution see slow time-to-value, duplicated efforts, and governance gaps that stall scale-up.
Towards More Actionable Maturity Models
To close the vision–execution gap, enhance digital transformation maturity models with an explicit Implementation & Migration layer and execution indicators that translate strategy into delivery.
Standard execution layer
Include patterns for migration planning, dependency mapping, and phased release strategies tied to business outcomes. For example, create migration waves (e.g., foundation, core processes, advanced capabilities), an initiative backlog with dependencies, and a release plan with timelines and owners.
Execution indicators
Readiness for change management, roadmap integration, benefits realization, funding cadence, and platform/product maturity. Track metrics like '% initiatives with defined owner and KPI', '% of roadmap items funded', and 'time from idea to pilot'.
Strategy → operations → outcomes
Trace each strategic intent to operational changes and measurable KPIs (e.g., cycle time, NPS, conversion, cost-to-serve) to measure digital maturity in a tangible way. For instance, strategy = 'improve digital sales'; operations = 'self-service journeys'; outcomes = 'conversion rate, NPS, cost-to-serve'.
Practical Recommendations for Companies
Executives can mitigate model gaps by pairing assessment with action. The key is not only to assess digital maturity but also to plan, implement, and track the migration journey.
Augment assessments with a migration roadmap
Map target maturity to a sequenced backlog with dependencies, owners, and quarterly milestones. This digital maturity roadmap ensures progress is structured and measurable. Group initiatives into 3–4 waves and tie each wave to specific maturity indicators and KPIs.
Institutionalize change management
Embed communications, training, role design, and incentives into every initiative, not as an afterthought. Require a change plan (communications, training, role changes) as part of every initiative’s approval.
Measure progress
Track migration milestones and benefits realization; ensure each initiative has a baseline and target KPI, and review realized impact within two quarters. Review realized impact quarterly against the maturity indicators defined in the execution layer.
Prioritize action planning over benchmarking
Use benchmarks to inform, but let execution planning drive investment and governance decisions. This is where a digital maturity model for business becomes actionable. Use benchmark scores to inform priorities, but ensure every maturity gap has at least one funded initiative on the roadmap.
Conclusion
Digital transformation success depends on mastering both vision and execution. We encourage academia and industry to evolve digital maturity assessment frameworks that balance strategy with practical migration pathways. Companies that build strong execution capability—tying initiatives to measurable outcomes—will lead the next phase of digital transformation. For organizations seeking digital maturity model consulting or a structured digital maturity model implementation, the priority should be selecting a framework that delivers not only assessment but also clear execution guidance. For organizations seeking **digital maturity model implementation support**, a structured digital maturity assessment can provide the baseline for this execution layer.
Sources
- [01] Digital Maturity Models: A Systematic Literature Review (ISPIM, 2020)
- [02] Capability Maturity Model (CMM) – Wikipedia
- [03] COBIT Framework – ISACA
- [04] ArchiMate® 3.0.1 Specification – The Open Group
- [05] A Maturity Model for Assessing Industry 4.0 Readiness (Schumacher et al., Procedia CIRP, 2016)