Data Migration Belongs on the Critical Path of Your CMiC Implementation
Updated: 3 days ago
Most CMiC implementation schedules get built around a go-live date, with data migration slotted in as one task among many that happens somewhere before it. That usually undersells it. Data migration belongs on the critical path, not squeezed inside it, because a lot of what happens later, testing, training, and go-live itself, depends on migrated data actually being right.
Why Data Migration Belongs on the Critical Path
Testing isn't meaningful against fake or incomplete data. Parallel runs can't validate anything if the historical data they're comparing against is wrong. Training doesn't stick if the system your team is learning on doesn't reflect their real numbers. Every one of those downstream milestones is only as good as the data migration that fed it, which is why data migration deserves more than a single line item on the project plan. It's one of the biggest dependencies the rest of the schedule sits on, alongside decisions like payroll burden setup and integration testing.
What Falls Under “Data Migration”: More Than Most Plans Account For
Historical financial data: prior-period GL balances, open AP and AR, and whatever history your reporting requires going forward.
Job cost history: budgets, commitments, and actuals for every open job, which have to convert cleanly or job cost reporting is wrong from day one.
Payroll history: year-to-date balances, accrued benefits, and prior certified payroll records, all of which have real compliance weight if they convert incorrectly.
Subcontracts: current terms, retention, and billed-to-date amounts for every active subcontract, which have to be right before a single subcontractor pay app processes correctly.
Open purchase orders: committed but unreceived and unbilled amounts that job cost reporting depends on to reflect true financial exposure.
Equipment records: ownership, usage history, and cost allocation, especially where equipment cost is charged back to jobs.
Inventory: on-hand quantities and valuation for anything tracked through the system.
Vendor and customer master data: the records everything else in the system references, which is exactly why errors here propagate everywhere.
This isn't an exhaustive list either. The exact scope depends on which CMiC modules you're actually running, but it's already enough to show why data migration is a bigger job than a single line on the project plan, and why it needs a serious place on the critical path rather than whatever time is left.
Why Schedules Built Around Go-Live Instead of Data Break Down
A schedule built around a go-live date treats data migration as something to squeeze in before the deadline. A schedule that puts data migration on the critical path treats the go-live date as a consequence of when the data is actually ready. The second approach is less comfortable to plan around (nobody likes telling leadership the go-live date depends on something as unglamorous as data cleanup), but it's the one less likely to blow up in week eleven.
What This Looks Like Done Right
Data migration planned as the critical path starts earlier than most project plans allow for, includes more than one conversion pass before final cutover, and treats data quality problems discovered mid-migration as expected, not as scope creep. None of that is exotic. It's just deliberately built into the schedule from day one instead of discovered under pressure in the final weeks.
Where We Help
We build CMiC implementation schedules around data migration as the pacing mechanism it actually is, not an afterthought squeezed in before go-live. If your implementation is being planned around a go-live date without a real answer for when your data will actually be validated, that's worth a conversation before the schedule gets locked in, not after.
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