Move Two Decades of Data Without Betting the Business
Platform migrations with parallel-run validation and zero-regression discipline — PowerCenter to IDMC, on-prem to Snowflake/Databricks, legacy MDM to modern platforms — scoped honestly before a single mapping moves.
Why Data Migration & Modernization Programs Stall
Migration estimates fail in the inventory: nobody can say which of 2,000 mappings are live, duplicated, or dead, so vendors bid the whole pile and programs run 12–18 months on scope that never needed to move. The other failure is validation — cutovers that discover data drift in production, after finance has already closed on the new numbers.
The Apptad Approach to Data Migration & Modernization
We scope with tooling, not workshops — usage analysis typically retires 20%+ of an estate before migration starts. Conversion runs through accelerators; validation runs old and new side-by-side against production data with automated row-level comparison, so cutover is a decision backed by evidence, not hope.
Inventory before estimate
Our Informatica Modernization Scoper flagged 22% of one client’s 1,800 mappings as dead or duplicate — scope cut before work began.
Automated conversion, human review
Accelerator-driven mapping conversion with engineering review on the exceptions — weeks, not quarters.
Parallel-run validation
Old and new pipelines execute side-by-side on production data with automated comparison. Zero data-quality regressions at cutover is the standard, not the aspiration.
Wave-planned cutover
Business-criticality ordering with rollback paths per wave — the estate moves without a big-bang weekend.
Data Migration & Modernization in Production
Global Manufacturer Replatforms 1,800 PowerCenter Mappings to IDMC in 12 Weeks
Automated conversion with parallel-run validation moved two decades of PowerCenter integration to Informatica IDMC — zero data-quality regression, on-prem estate retired.
Read the case study
Regional Health System Cuts Infrastructure Costs by 42% on AWS
A 12-hospital health system migrated 380+ workloads to AWS GovCloud with a HIPAA-compliant data lake — slashing spend while improving reliability.
Read the case studyAccelerators & Products for Data Migration & Modernization
Data Migration & Modernization, Answered Straight
How do you estimate a migration honestly?
By inventorying first. Usage analysis against logs and lineage tells you what's live, duplicated, or dead — on a recent program that cut 22% of the estate before anyone wrote a conversion ticket. If a vendor bids your migration without an inventory, they're bidding your worst case and pocketing the difference.
What does parallel-run validation actually involve?
Both pipelines — legacy and target — process the same production data for an agreed window, with automated row-level comparison flagging any divergence. Cutover happens when the comparison is clean, per wave. It converts migration risk from faith to evidence.
PowerCenter support is winding down — how urgent is IDMC?
Urgent enough to inventory now, even if you migrate later. Knowing your true scope changes your licensing negotiation and your timeline options. Our Modernization Scoper gives you that picture in 15 minutes, free — start there.
Part of our Data Management practice.
Have a Data Migration & Modernization Question? Ask the People Who Ship It
Our Data Management practice is led hands-on. Connect on LinkedIn or send a note through the form — a practitioner (not a sales rep) replies within one business day.
