Bridging the Gap in Digital Maturity Models

Introduction

Most digital maturity models do a solid job diagnosing strategy and capability gaps, but they fail at the step leaders care about most: execution. A widely cited review found explicit implementation and migration guidance in only 1 of 23 assessed models, which explains why many teams leave workshops with a score yet no credible delivery sequence.

This article focuses only on that gap. You will get a practical execution layer that links maturity findings to migration waves, initiative owners, dependency logic, and outcome KPIs. If your immediate need is model selection, level interpretation, or benchmark design instead, use these focused guides: analyst model comparison, maturity levels and scorecards, and benchmarks and survey design.

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.

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. The pattern remains consistent: strategic alignment is well-covered, while implementation mechanics are under-specified. A systematic literature review (ISPIM Innovation Conference, June 2020) found explicit Implementation & Migration guidance in only 1 of 23 models.

In practice, this creates an operational blind spot. Organizations can classify their maturity level but still lack a decision-grade answer to what gets funded first, what must be sequenced, and how outcomes will be measured quarter by quarter.

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.

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.

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.

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 **implementation governance support (not delivery)**, a structured digital maturity assessment can provide the baseline for this execution layer.