A well-designed data migration framework should streamline operations—not trap businesses in endless transitions. Yet, many organisations face repeated, costly migration cycles. Whether replatforming, upgrading, or switching vendors, these projects often divert critical resources away from business priorities.
So, when does migration stop being useful and start causing disruption?
In a recent LinkedIn Live event, experts from Matatika, Fundamenta, and The Scale Factory tackled this exact question. They explored why data migrations keep repeating, whether they achieve intended outcomes, and how a strategic framework can reduce disruption and cost.
This blog distills their key insights and offers practical ways to implement a smarter data migration framework.
Richard Shenghua (Fundamenta): Data strategy consultant with experience in enterprise-scale migrations, including a £100M-impact Google Cloud transformation.
Kyle Probert (The Scale Factory): Leads growth at an AWS Advanced Partner, supporting enterprise cloud migrations with minimal disruption.
Aaron Phethean (Matatika): Provides a vendor-side perspective focused on simplifying migration processes and reducing technical friction.
Many organisations adopt a reactive approach. They migrate because of system obsolescence, vendor pressure, or contract deadlines—without assessing long-term value.
Are migrations solving business problems or merely avoiding penalties?
How much productivity is lost to each new transition?
Are proprietary platforms and vendor lock-ins fueling a cycle of constant change?
“Many organisations migrate for the wrong reasons. Data migration must be a strategic, not just technical, decision.” – Richard Shenghua
1. Align Data Migration with Business Strategy
Successful projects start with business value—not IT constraints. Use the data migration framework to assess ROI before initiating any change.
Recommendations:
Link migration plans to measurable outcomes
Evaluate resource impact and opportunity cost
Time migrations to coincide with business goals
“If you can’t quantify the business value, pause the project.” – Kyle Probert
Beyond infrastructure spend, every migration consumes time and internal focus. A strong framework accounts for these indirect costs.
Recommendations:
Plan team bandwidth carefully
Use automation to reduce manual lift
Engage migration specialists early
“Complex migrations need capacity. Trying to maintain operations alongside them is unsustainable.” – Aaron Phethean
Many migrations are vendor-driven. Your data migration framework should reduce dependency on proprietary tools and restrictive renewals.
Recommendations:
Evaluate alternatives early
Embrace open standards
Negotiate proactively
“Don’t migrate because of pressure. Strong contracts avoid rushed transitions.” – Richard Shenghua
A phased data migration framework lowers risk and improves results.
Recommendations:
Start with modular phases
Lift-and-shift before modernising
Pilot new systems before full adoption
“Iteration beats big-bang migration every time.” – Kyle Probert
Organisations that treat migration as a recurring strategic function—not a one-off crisis—see better results over time.
Best Practices:
Include migration reviews in annual planning
Maintain a vendor evaluation process
Standardise tools and documentation
If migration cycles are draining your resources, it’s time for a better approach. A structured data migration framework helps reduce waste, control costs, and unlock long-term scalability.
📺 Watch the full LinkedIn Live session for further insights.
📩 Connect with:
#Blog #Cloud Strategy #Data Migrations #Migration Planning #Strategy #Vendors
Stay up to date with the latest news and insights for data leaders.