Dynamics 365 Migration Data Quality: Clean Before You Move
Every Dynamics 365 migration project has a moment of truth. It usually arrives about three weeks after go-live, when a sales manager opens the shiny new CRM, searches for a key account, and finds four versions of it — two with the old address, one with a misspelled company name, and one with no owner at all. The platform is new. The data problem is not. It just moved house.
Migrations are the single best opportunity most organisations get to fix their data, and the single most common opportunity they waste. Here is how to use yours properly.
Migration Doesn’t Clean Data — It Multiplies It
There is a persistent hope on migration projects that the new system will somehow sort things out. It won’t. An ETL pipeline is exceptionally good at moving records faithfully, including the bad ones. Worse, migrations often consolidate multiple source systems — a legacy CRM, a marketing database, a spreadsheet the service team has been quietly maintaining for six years — into one Dataverse environment. Each source has its own version of the same customer. Merge them without a matching strategy and you don’t inherit three data quality problems; you inherit their combined product.
Microsoft’s own guidance on CRM data migration to Dataverse is direct about this: profile your sources, identify orphaned records, and flag duplicate master data before you build the pipeline. That work has to happen somewhere. The question is whether it happens deliberately, or as an emergency clean-up after go-live.
The Problem With Cleaning Data Outside the System
The traditional approach is to export everything to staging tables or spreadsheets, run deduplication scripts, and load the survivors. It works, up to a point — but it has two structural weaknesses.
First, exact-match logic misses most real duplicates. “Jensen Consulting A/S” and “Jenssen Consulting AS” are the same company to a human and two different companies to a SQL join. So are “Catherine”, “Kathryn” and “Cathrin”. Real customer data is full of transcription differences, and character-by-character comparison simply doesn’t see them.
Second, staging-based cleaning is a one-off event. The day after go-live, users start typing, integrations start firing, and the environment begins re-accumulating exactly the duplicates you just spent a month removing.
A Better Sequence: Clean Natively, Then Keep It Clean
Techdio’s Data Quality App is a Microsoft-certified solution for Dynamics 365 and Power Apps that runs natively inside your environment — meaning it can be applied at every stage of a migration rather than just the middle one.
Before you migrate. Install the app in your source Dynamics 365 environment, or in a staging environment holding your consolidated data, and run advanced duplicate detection across it. Phonetic field matching catches the spelling and transcription variants that exact-match rules miss — the ones that would otherwise arrive in your new environment as separate, competing records.
During consolidation. Bulk and manual merge let you resolve duplicate clusters with a defined master record, so you control which version of the truth survives. That matters enormously when you are combining three sources and each has a different opinion about a customer’s address, VAT number, or account owner. Rather than an arbitrary “last write wins”, you get an explicit decision.
After go-live. This is the part most migration plans forget entirely. Custom data quality rules can be defined on any entity, and real-time prevention stops bad data at the point of entry — so a user creating a duplicate account is told about the existing one while they are still typing, not six months later during a reporting review. The migration cleanup becomes a permanent standard instead of a temporary state.
How Do You Prove the Migration Actually Improved Anything?
Migration steering committees deal in status reports, and “the data is better now” is not a status report. The Data Quality App includes a built-in Data Score that can be tracked in Power BI — giving you a measurable baseline before migration and a trend line afterwards.
That single artefact changes the conversation. You can show the score for your legacy environment, the score at cutover, and the score three months later. If it holds, your prevention rules are working. If it declines, you know exactly which entities are drifting and can adjust the rules rather than schedule another clean-up project. It also gives the project a defensible completion criterion — something migrations are notoriously short of.
The Data Residency Question
Migrations are when data governance gets scrutinised most closely, and rightly so. Any tool that requires exporting customer records to an external cleansing service introduces a new processor, a new transfer, and a new set of questions from your compliance team — precisely when you can least afford the delay.
The Data Quality App requires no external access to your data. It runs inside Dynamics 365, so records never leave your Microsoft environment. It is available on both Microsoft AppSource and the Azure Marketplace, which for many organisations also means it can be procured through existing Microsoft agreements rather than a separate vendor onboarding process.
Start Earlier Than Feels Necessary
If there is one practical recommendation here, it is this: begin data quality work at the discovery stage, not at the data-load stage. By the time you are building pipelines, your mappings assume a record structure that may be built on duplicates. Profiling and deduplicating early changes the volume you migrate, the effort you estimate, and often the schema decisions you make.
Clean data also makes user acceptance testing meaningful. When testers search for an account and find one accurate record instead of four uncertain ones, they trust the new system — and adoption, ultimately, is what a migration is actually for.
If you are planning a move to Dynamics 365, consolidating environments after an acquisition, or preparing a legacy CRM for retirement, it is worth mapping out your data quality approach before the first extract runs. Book a call with our team and we will walk you through how the Data Quality App fits into a migration plan.
You can download our Data Quality App from www.techdio.dk/dataqualityapp. If you have any questions, reach out to us at support@techdio.dk.
