Preparing Your Data for Transformation. What to Clean, What to Keep, and What to Let Go
When a business decides to move to a new finance system, the conversation often starts with features, integrations, or pricing.
But the real success or failure of an ERP project usually comes down to one unglamorous thing: data.
At CoreBiz, we’ve delivered hundreds of Business Central implementations — and we can tell within the first few weeks whether a project will be smooth sailing or full of friction. The difference? How well the organisation has prepared its data.
Clean, structured data is the foundation of every successful transformation. But most businesses underestimate just how much baggage they’re carrying – years of messy spreadsheets, duplicate vendors, redundant SKUs, and incomplete customer histories.
So, let’s talk about how to get your data in shape, what to clean, what to keep, and what to finally let go.
Why Data Prep Matters More Than You Think
A new ERP system can’t fix bad data. It can only expose it.
You can have the best system in the world, but if the information you feed it is inaccurate or inconsistent, your reports will still be wrong.
Clean data doesn’t just make migration easier — it makes your business smarter:
- Reports are reliable and trusted.
- Automation works without manual overrides.
- Reconciliations happen faster.
- Customers, suppliers, and products are properly aligned across systems.
Think of it like moving house — you don’t box up everything in sight. You take the time to decide what’s worth keeping and what should be left behind.
What to Clean
Start with the information you rely on daily — the stuff that directly affects operations, reporting, and compliance.
Chart of Accounts
Simplify it. Many businesses accumulate layer upon layer of accounts over time. Consolidate where possible and align it to how you actually want to report moving forward.
Customers and Vendors
Remove duplicates. Merge similar records. Standardise naming conventions (no more “Woolworths”, “Woolworths Group”, and “WW Group” all meaning the same thing).
Validate key fields like ABNs, addresses, and payment terms.
Items and SKUs
If you sell or stock products, clean up item codes and descriptions. Archive discontinued SKUs or mark them as inactive. A clean item master means accurate stock and margin data later.
Open Transactions
Reconcile outstanding invoices, credit notes, and purchase orders before migration. Old transactions create noise that complicates reporting and bank reconciliation post go-live.
What to Keep
Not all historical data needs to go — some is valuable. The key is relevance.
Keep what’s essential for:
- Audit and compliance – e.g. last few financial years.
- Trend analysis – sales, margins, or customer growth.
- Operational continuity – open POs, invoices, and inventory balances.
A good rule of thumb: bring forward clean, current data and archive the rest. Microsoft’s cloud ecosystem allows you to store historical data securely without bloating your live system.
What to Let Go
This is where most organisations struggle — letting go of data that no longer serves them.
You don’t need to migrate:
- Obsolete product codes and inactive customers.
- Closed transactions older than your compliance period.
- Reports built for systems you’re leaving behind.
- Spreadsheets that only one person knows how to interpret.
Every piece of data you bring over adds complexity and cost. The more unnecessary data you move, the more time you’ll spend fixing it later.
Think of this as digital decluttering — if it hasn’t been used, trusted, or needed in three years, it probably doesn’t deserve a ticket to the new system.
How to Approach Data Preparation
We recommend approaching data readiness like a mini project before implementation even begins:
- Assign ownership. Make someone accountable for each data set — finance, inventory, HR, etc.
- Document your rules. Agree on naming conventions, coding structures, and validation standards.
- Run test exports. Get your data into Excel or staging environments early to reveal inconsistencies.
- Validate with users. Your team often knows where the pain points are. Use their feedback to fix the right problems.
- Plan time for cleanup. Data preparation always takes longer than expected. Build it into your project timeline.
At CoreBiz, we often start with a data health check during discovery — so we know exactly what’s coming before migration begins. It saves headaches later.
Why This Step Pays Off
Clean data doesn’t just make for a smoother Go-Live. It sets the tone for the kind of business you’ll become.
You’ll be able to:
- Make faster, more accurate decisions.
- Trust your reporting.
- Scale confidently as you add new companies, stores, campuses, or entities.
Data clarity builds organisational confidence — and that’s what transformation is really about.
The Bottom Line
A system upgrade isn’t just about technology. It’s about discipline.
When your data is clean, your reporting is trustworthy, and your processes are standardised, you’re not just implementing new software — you’re building a stronger foundation for growth.
At CoreBiz, we help businesses prepare their data for Microsoft Dynamics 365 Business Central the right way — simple, structured, and built to last.
Because transformation shouldn’t just move your systems forward — it should move your business forward, too.
