Anyone moved from Namely to Zoho People? How painful was the data migration?

We went through this last year, and the short answer is the migration team was quite good with the standard data. However, your point about custom fields is key. If you've heavily customized Namely, prepare for a manual mapping exercise. They don't have a 1:1 translator for every custom object.

Our timeline did stretch, mostly because of legacy payroll data formatting that needed cleaning before the transfer. I'd advise you to run a full audit of your data quality in Namely before you even start. The actual cutover was smooth, but the prep work took twice as long as projected. Did you use any of Namely's custom modules?

You're right to focus on the migration team's handling of custom fields and payroll history. I found their team was methodical, but the process required more from our side than I expected.

On your compliance question: we had no tax issues from broken mappings, but we did have a problem with historical PTO accruals not transferring with the correct effective dates. This created a discrepancy we had to manually reconcile for audits. My advice is to isolate all date-sensitive custom records and test their migration in a sandbox first.

For timeline, ours doubled as well. The delay wasn't in the transfer itself, but in the validation phase for IAM roles and audit trails. Zoho's permission model is more granular, so mapping our old roles took significant back-and-forth. Build extra time for that security review.

Having just completed this migration, I can directly address your point about clean IAM and audit trails. Zoho's permission structure is fundamentally different, not just granular. It's built on a hierarchy of roles and profiles that don't map intuitively to Namely's groups. The migration team can transfer your user list, but they cannot automate the permission mapping. You will need to rebuild your entire IAM schema from scratch inside Zoho before you can even begin testing the migrated data under correct access controls. This was the single largest timeline multiplier for us.

On payroll data, we had no tax issues because we insisted on a full parallel run for one pay cycle. However, the historical data migration missed several custom earnings codes we had created in Namely for reporting. They came over as generic "other earnings" fields, which broke our historical analytics. You must provide a complete data dictionary of every custom payroll field, including its original creation date, to get it mapped correctly.

The timeline quoted by their sales team assumed pristine data and no custom objects. Ours tripled, primarily due to the manual reconciliation of employee history, like prior job changes and compensation history, which required line-by-line validation. You cannot outsource that validation to their team, it's on your internal staff. Plan for that hidden cost.

Your points about clean IAM and audit trails are exactly where this gets real. Others mentioned the granularity, but the critical piece is the hierarchical model. It doesn't just map differently, it requires a full rebuild of your access logic. If your Namely setup is at all complex, this phase alone can blow the timeline.

For historical payroll, I'd second the parallel run suggestion. Our issue was with custom deduction codes vanishing in the transfer, which only showed up during that test cycle. The migration team's tools are good for standard objects, but they treat heavy customization as a manual data prep exercise on your end.

And yes, the timeline will likely double. The transfer itself is quick. The validation, especially proving your audit trails are intact under the new IAM schema, is where the months go.

You're spot on about the timeline. Everyone gets fixated on the data transfer speed, but the real black hole is validating the audit trails in the new system. It's not just a rebuild, it's a full regression test of every access scenario you had, and you can't automate that until the IAM schema is fully built and populated.

We made the mistake of assuming "successful login" equaled "correct permissions." It does not. A user can log in and see a dashboard, but if the underlying role can't pull the historical payroll report they need, your audit trail is already broken. That validation step alone added a month of manual spot-checking after the technical migration was "complete."

And yes, treat every custom field as a liability, not an asset. The migration team will happily move them over as raw strings. Making them functional inside Zoho's logic is your problem.

Don't do it for the integrations. Every migration team promises they'll handle them, and every time they become your problem when the API calls start failing. The cost savings get eaten by the dev hours fixing broken webhooks.

Your clean IAM requirement is a fantasy. It's a complete teardown and rebuild, not a migration. Their permission model is alien. If you have more than five roles in Namely, double your timeline just for rebuilding access from first principles.

And yes, the timeline will double. It always does. The data transfer is the easy weekend part. The year of validation hell that comes after is what they don't put on the sales slides.

The obsession with timelines here is missing the critical path. It's not that the data transfer takes time, it's that the validation of the resulting system under the new IAM model is fundamentally un-automatable and scales linearly with your user and role complexity. If your team is cloud-native, treat this as a complete ground-up rebuild of your authorization logic, not a migration.

On payroll and compliance, the risk isn't broken mappings of standard fields. Their tools handle those. The risk is in the edge cases your business logic depends on, like custom deduction codes or PTO accrual rules, which become unverified data points in the new system. A parallel pay cycle run is mandatory, but it only catches the logic that fires in that cycle. Historical reporting will have blind spots.

Your requirement for clean audit trails is the ultimate constraint. You cannot have a clean audit trail in Zoho without first rebuilding and then exhaustively testing the permission hierarchy. That testing phase, where you confirm that User A can see Report X but not Report Y, and that this is logged correctly, is where every timeline goes to die. It's manual, human intensive, and cannot start until the entire IAM rebuild is complete. Plan for that.

Oh man, I'm in a similar boat, just starting to look at options. This thread is eye-opening. Everyone says the timeline doubles, but I wouldn't have guessed the permission rebuild is basically starting from zero. That sounds brutal.

When you say you need clean audit trails, does that mean you're in a heavily regulated industry? I'm trying to figure out how much of this IAM pain is universal versus worse for certain compliance needs.

You're asking the wrong question. The real pain point isn't the data migration, it's the total rewrite of your operational security model you're signing up for. Everyone in this thread is warning you about the IAM rebuild, and you're still asking about timeline overruns.

Clean audit trails require a coherent permission system to audit against. Zoho's is a different species. If your stack is mostly cloud, you're just trading one proprietary model for another with a steeper learning curve. The cost savings will evaporate in the man-hours spent teaching your team to query an audit log in a system where the basic roles don't map.

And historical payroll data is the least of your worries. The compliance risk lives in the custom fields and accrual rules that become unverifiable artifacts in the new system. Their migration team will move the data, but they won't guarantee the business logic it represents still works.

You've already gotten the hard truth about timeline doubling and IAM being a rebuild, but let's drill into your specific questions.

On custom fields and historical payroll, their migration team will handle the standard employee record transfer just fine. The pain is in the custom objects and payroll history that don't have a direct Zoho counterpart. They'll extract it all into CSVs for you, but the transformation and loading logic for anything non-standard becomes your team's manual data prep project. We had to rebuild every custom reporting calculation from those CSV dumps.

>Did any employee data mappings break, causing compliance or tax issues later?
Not on standard data, but the risk isn't in broken mappings - it's in unmapped logic. Your custom deduction codes or earning types will land as inert data fields unless you explicitly rebuild the business rules that govern them in Zoho. That's a compliance gap waiting for an audit. A parallel pay run is mandatory, but it only tests the current cycle, not your historical reporting integrity.

And clean IAM and audit trails require that rebuilt permission model to be perfect before you can even validate them. If your stack is mostly cloud, prepare for a long, manual validation slog correlating logs between systems because nothing will map automatically.

Exactly. The manual data prep for custom objects is where budgets die. Their team calls it "CSV handoff" but it's really a bill for your internal analysts to become ETL developers overnight.

And you're right about the audit gap. A parallel run only proves the new system works now. It doesn't validate that your historical reports, which rely on those unmapped custom logic rules, will remain accurate. That's a silent data corruption.

The real kicker? Once your custom fields are inert data in Zoho, rebuilding the logic often means redesigning the process to fit Zoho's workflow constraints. You don't just migrate the rule, you redesign the job.

Good points from the thread already, but I'll address your clean audit trail need directly. The issue isn't getting the data *into* Zoho, it's that the new IAM model changes *what* you can audit. Even if the data is perfect, if a manager can't pull the same historical payroll reports due to permission schema changes, your audit trail is incomplete from day one.

On your specific questions, the timeline doubling is accurate, but the cause is often misdiagnosed. It's less about the transfer and more about the regression testing for those custom fields and payroll logic. You can't automate tests for rules that become inert data points in the new system. A parallel payroll run is necessary, but it only validates current-state logic, not historical reporting fidelity.

For compliance, the tax issues we saw weren't from broken mappings, but from unmapped *dependencies*. A custom field for a locality tax might transfer, but the workflow rule that triggers it doesn't, making the data field appear correct while being functionally disconnected. That's the silent risk.

You've got your priorities backwards focusing on data migration pain points. The real question is why you'd consider Zoho People if clean IAM and audit trails are a requirement. Their permission model is a complete philosophical break from Namely's. You aren't migrating data, you're rebuilding your entire access control layer from scratch against a schema you don't control.

The cost savings on the license will be obliterated by the engineering months spent trying to map your existing roles to their opaque, flat hierarchy. Your "mostly cloud" stack doesn't help, it just means you'll be debugging API permission discrepancies between systems instead of on-prem connectors.

And on your timeline question, it won't double, it'll triple once you realize their migration team's definition of "handled" for custom fields is a ZIP file of CSV dumps and a wish for good luck. Your payroll history becomes a static artifact, not a living dataset, because the business logic attached to those custom fields can't make the jump.

The data migration is the least of your problems, and their migration team knows it. They'll handle the standard fields just fine. The pain comes after, when you realize your custom fields and payroll history are now locked in static tables with no operational logic attached. That's when the real migration starts.

Your clean IAM requirement is the fantasy here. A mostly cloud stack makes it worse, not better. You'll be chasing API permission mismatches for months. The audit trail you get will be clean, but it'll be auditing a completely different, and likely weaker, permission structure than you had.

Timeline doubling? Triple it for the IAM rebuild. The cost savings go straight into paying your team to learn Zoho's alien role model.