Uniform blog/Why rip-and-replace migrations are a risky bet

Why rip-and-replace migrations are a risky bet

TL;DR

Rip-and-replace CMS migrations are high-risk bets because long timelines, hidden dependencies, and changing requirements can drive significant cost overruns. Organizations often commit to a fixed plan before they can uncover the systems and workflows that make migration difficult. The key takeaway: Incremental modernization with an orchestration layer delivers needed capabilities while reducing risk, preserving flexibility, and allowing teams to evolve on their own timeline.
In the base-rate appendix of Bent Flyvbjerg and Dan Gardner's book, How Big Things Get Done, a table ranking eleven different categories shows that large IT projects run 73% over budget on average, and among those that exceed 50%, the average overrun is 447%.
Information technology has the worst tail on the list. Not the worst average, where nuclear waste storage and the Olympic Games are. The worst tail. When a technology project fails, it fails worse than a nuclear waste facility.

Why not to plan around the average

Most replatform decisions are priced on a single figure: the vendor's quote plus the integrator's projected number of months. The organization compares this figure with the cost of inaction to determine affordability. 
The arithmetic only holds if outcomes cluster near the average. In a category with a tail this dramatic, they will likely not. 
Nearly one in five large IT projects run over budget by more than 50%, averaging more than four times the original. Yet software migrations receive an exemption they have not earned, likely because the budget line appears as a purchase when, in reality, it behaves like a bet.

The tails come from what can not yet be known

Teams commit to replatforms before they can possibly know what lies ahead. Integrations that turn out to be load-bearing. A content model that will not map cleanly. The mystery workflow undocumented since its creator left in 2021. 
These factors will not surface during planning. They will appear downstream, when the organization is committed, the old system is partially decommissioned, and the cost of stopping outweighs the cost of continuing. 
During an 18-month project, the business will evolve, and requirements will drift. Each change must be absorbed by a fixed scope. The Standish Group's CHAOS research finds that small projects fare considerably better than large ones. Size correlates with failure because size scales project duration, which provides more time to unearth surprises.

What the numbers do not claim

Flyvbjerg's threshold is large projects, and much of his sample sits well above what a mid-market content platform migration costs. The transferable finding for smaller replatforms, though, is the shape, not the magnitude. 
Long tails in software stem from committing before discovering and from scope that shifts while the clock is running. These conditions are not caused by budget size; they are weaknesses in a long project that is too rigid to absorb them. 
A 12-month CMS migration is the same shape at smaller scale.

Win by not placing the bet

Techniques for managing tail risk on a replatform do not change the reality: an organization has committed its roadmap to a project whose downside it cannot bound.
What should change this reality is the ability to obtain the capabilities they are migrating for without the migration
Adding an orchestration layer above existing systems delivers modern capabilities, faster delivery, personalization, and publishing without a development ticket, while the content platform, the commerce engine, and the customer data stay exactly where they are. 
Uniform's architecture connects systems rather than consolidating them; therefore, capabilities are added in increments, empowering the organization to stop, reverse, or expand as needed.
Choosing an incremental migration with Uniform changes both the risk profile and timeline. A reality you won’t have to wager 12 months of business, marketing and IT operations, or an overrun budget to find out.
Curious what this means for your business? Schedule time with an advisor now.

FAQs

The failures stem from discoveries that cannot be anticipated during planning. Undocumented workflows, integrations that prove load-bearing, and content models that resist mapping are examples of what surfaces after the organization has committed and the old system is partly decommissioned. Project duration increases exposure.