Accelerate time to market
Enable faster development, testing and deployment of business functionality. Reduce the effort required to introduce change.
Example measures: change lead time, deployment frequency and time to deliver functionality.
Define the business outcome before choosing the technology. Agree what should improve, what must be protected and how benefits will be demonstrated.
Mainframe transformation is not about moving applications for the sake of migration. It is about improving how the organization develops, operates and evolves its business-critical applications. Agree what should improve, what must be protected and how the benefits will be demonstrated. Depending on the application, the answer may be to retain, optimize, replace or selectively migrate.
Mainframe transformation strategy starts by defining the outcomes, constraints and target state before committing to a transformation path.
Enable faster development, testing and deployment of business functionality. Reduce the effort required to introduce change.
Example measures: change lead time, deployment frequency and time to deliver functionality.
Improve the economics of development, maintenance, infrastructure and support across the application lifecycle—not only mainframe consumption.
Example measures: application lifecycle cost, support effort and cost per transaction.
Create applications that are easier to understand, test, maintain and enhance without compromising business functionality.
Example measures: maintainability findings, test coverage, technical debt and production defects.
Preserve critical business processes while addressing technical debt, knowledge concentration and operational vulnerabilities.
Example measures: critical incidents, unresolved dependencies and recovery performance.
Reduce unnecessary dependencies, improve integration and allow applications to evolve more independently.
Example measures: dependency reduction, integration complexity and independently deployable components.
Establish proven methods, reusable processes and clear responsibilities to support subsequent modernization initiatives.
Example measures: migration readiness, process reuse, defects per wave and delivery predictability.
Business functionality, data integrity, security, compliance, performance and operational resilience must be protected. Establish these requirements alongside improvement objectives, not after migration.
For each priority, establish the current baseline, desired outcome, measurement method, accountable owner and acceptable trade-offs. Consider transformation investment alongside ongoing operating costs and expected benefits. Use agreed criteria to evaluate options and validate early migration results before wider commitments.
I can help clarify this stage through a management briefing or executive workshop, covering objectives, options, assumptions and the decisions that need to be made. Where more evidence is needed, this can lead into a focused portfolio review or assessment.