From legacy system to live ERP

Lease Data Migration Services

Every ERP migration has the same weak point: the lease data. The software gets implemented on schedule, the chart of accounts gets mapped, and then someone discovers that the lease records coming out of the legacy system — MRI, JD Edwards, RealPage, or a decade of spreadsheets — do not match what the new system expects. Dates in the wrong format, charge codes that do not exist, escalation schedules that live in a comments field. Go-live slips while the team cleans data by hand.

PropETL does the data leg of the migration as a service: we get lease data out of the source system or documents, map it to the target ERP’s structures, validate every record against the import rules before it ever touches your database, and reconcile the result so day one billing matches the legacy rent roll. Our team has done this on 20+ real ERP implementations, and PropETL’s ETL engine validates against hundreds of Yardi import modules and thousands of field-level rules.

The migration paths we work

Most engagements are one of a few well-worn routes: MRI to Yardi, JD Edwards to Yardi, RealPage to Yardi, or spreadsheets-and-abstracts to Yardi after an acquisition. Each source system stores lease concepts differently — recovery structures, option records, and charge schedules rarely map one-to-one — so the work is translation, not export-import.

The destination defines the job. Yardi Voyager wants structured records with valid property, unit, and tenant codes, dates in the right format, and charge schedules that add up. A migration that stops at “data exported” leaves the hardest 40% to your team; ours ends when validated import files are ready and the numbers reconcile.

What a validated migration includes

  • Source extraction — from legacy system exports, database dumps, spreadsheets, or (where records are missing) abstraction directly from the lease documents
  • Field mapping from the source system’s structures to the target ERP’s import formats, with every transformation documented and reviewable
  • Validation before import: PropETL’s ETL engine checks each record against hundreds of Yardi import modules and thousands of field-level rules — required fields, formats, lookups, uniqueness, and cross-field dependencies
  • Charge schedules built to reconcile: the migrated charges are tied back to the legacy rent roll so month-one billing in the new system matches month-last billing in the old one
  • Go-live validation support: exception reports on bad or missing data, so decisions are made deliberately before cutover instead of discovered after

Why validation before import beats cleanup after

The expensive migration failure mode is not rejected records — it is accepted records that are wrong. A charge with a plausible but incorrect amount imports cleanly, bills a tenant incorrectly, and surfaces as a dispute months later. That is why we validate at the field level before anything is loaded: format checks, lookup checks against your property and charge-code lists, range checks, and dependency rules that catch the record that is internally inconsistent.

Bad and missing source data is normal, not exceptional — legacy systems accumulate a decade of workarounds. Our process surfaces every exception in a reviewable report: what failed, why, and what the options are. You decide whether to fix at source, correct in the mapping, or exclude and handle manually — nothing is silently dropped or silently guessed.

Combining migration with abstraction

  • When the legacy system is incomplete or untrusted, the leases themselves are the source of truth — we abstract them with AI-powered extraction, page-level citations, and specialist human QA, then feed the migration from the abstracts
  • One pipeline from scanned lease to validated import data means no re-keying step between the abstraction vendor and the migration team — because they are the same team
  • Free sample round: send one representative lease or a source data extract and see the finished output before committing
  • NDA available; your documents and data are used only to produce your deliverables and deleted on request
  • Yardi-ready import files produced by the validation engine are rolling out to waitlisted clients — tell us your go-live date and we will scope the deliverable

Frequently asked questions

How long does a lease data migration take?

Scoped engagements run in days to weeks depending on portfolio size and source data quality — not the months that migrations consume when data cleanup is discovered mid-project. AI-assisted extraction and automated validation set the pace; the calendar time goes to mapping decisions and your review of exception reports. Tell us the portfolio size and go-live date and we will confirm a schedule.

Which source systems can you migrate from?

Common pairs are MRI to Yardi, JD Edwards to Yardi, and RealPage to Yardi, plus the perennial spreadsheets-and-abstracts to Yardi after acquisitions. In practice the source matters less than you would think — if the data can be exported to files or extracted from the lease documents themselves, we can map and validate it. Our team’s experience comes from 20+ real ERP implementations across exactly these routes.

How is the migrated data validated?

Every record passes through PropETL’s ETL engine, which validates against hundreds of Yardi import modules and thousands of field-level rules — required fields, formats, lookups against your codes, uniqueness, ranges, and cross-field dependencies. Charge schedules are additionally reconciled against the legacy rent roll, so validation covers both “will it import” and “will it bill correctly”.

What happens with bad or missing data in the source system?

It gets surfaced, not buried. Validation produces exception reports listing each failing record, the rule it broke, and the likely fix. You choose per exception: correct at source, correct in the mapping, or exclude and handle manually. Where the legacy record is missing entirely, we can abstract the value from the lease document itself, with a page citation so you can verify it.

Can abstraction and migration be combined in one engagement?

Yes, and it is often the best-value shape: leases are abstracted with page-cited AI extraction and human QA, and the abstracts feed directly into the validated migration pipeline — one vendor, one data model, no re-keying seam between abstraction and import. This is the standard pattern for acquisitions where the seller’s system is not coming with the deal.

Get a quote — and a free sample round

Send one representative lease and we return the finished abstract, so you can judge the quality on your own documents before committing to anything.

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