The first paid step

ERP data migration readiness assessment in 5 to 10 days.

The ERP Data Readiness Review is a fixed, low-risk first engagement. It assesses whether your data is ready to migrate and gives you a clear view of what is wrong with your data, what needs fixing, who owns it, and whether the project is safe to move forward — before the ERP migration or reporting rebuild gets expensive.

Remote-first · On-site where it helps · Vendor-neutral

// at a glance
Duration5–10 days
EngagementFixed scope
OutputFix plan
RiskReduced
01 — Why it exists

Most ERP projects fail on data, not software.

Migrations slip and reports lose trust because nobody mapped the data, found the mismatches, or agreed who owns each decision until it was too late. The Readiness Review front-loads that work into a short, fixed engagement.

You come away knowing exactly what is wrong, what it will take to fix, and whether cutover is safe — evidence you can put in front of your board, your ERP partner and your team.

02 — What you receive

Five deliverables, not a slide deck.

01

Source inventory

Every system, spreadsheet and extract that feeds a number — ERP, CRM, finance, warehouse, Excel and reporting. Delivered as XLSX.

02

Data quality issue register

Duplicates, missing values, mismatches, invalid codes and owner gaps — logged, categorised and ranked. Delivered as CSV.

03

Reconciliation checklist

What must tie back to ERP, finance and operational truth — so reports can be trusted again and mismatches stop recurring.

04

Owner matrix

Who signs off customers, suppliers, items, stock, pricing and reporting definitions — so decisions have a name against them.

05

Prioritised fix plan

The action list that turns vague data risk into delivery work — ranked by value, urgency and cutover risk, with a risk summary you can hand straight to your board (PDF).

03 — How the review runs

A short, visible engagement — not a consultancy programme.

DAYS 1–2 · STEP 01

Map the mess

Review systems, spreadsheets, reports, extracts, known pain points and data owners. Build the source inventory.

DAYS 3–5 · STEP 02

Find the risk

Identify duplicates, missing fields, finance mismatches, unclear definitions and cutover blockers. Populate the issue register.

DAYS 6–8 · STEP 03

Prioritise the fix

Turn issues into a practical action plan by value, urgency and cutover risk. Assign owners.

DAYS 9–10 · STEP 04

Build trust

Walk the business through the findings, reconcile the priority reports and hand over a repeatable way forward.

04 — When to book it

Book the review if any of these sound familiar.

"Our reports don't reconcile."

Stock reports don't tie to finance; Power BI doesn't match the ERP.

"We're migrating soon."

The ERP project is moving and data decisions aren't owned properly.

"Nobody trusts the numbers."

Leadership argues over versions of sales, margin and backlog.

05 — What the assessment checks

How to assess data migration readiness: the eight areas to check.

Each area is checked against your real data, not a questionnaire. Every problem found goes into the issue register and is ranked in the fix plan by value, urgency and cutover risk.

Source systems and extracts

Every ERP, finance, CRM, warehouse and spreadsheet source that feeds the migration, and which one is the system of record for each object.

Item, customer and supplier master data

Duplicates, missing mandatory fields, invalid codes, inconsistent units of measure and records nobody uses any more.

Open orders and work in progress

Which open sales orders, purchase orders and jobs migrate, which close out first, and whether their status is reliable.

Stock and opening balances

Whether stock quantities, valuations and ledger balances can be tied back to finance before they are loaded.

Mapping to the new ERP

Whether source fields and codes map cleanly to the target templates, and where translation rules are still undecided.

Ownership and sign-off

Who owns each data object, who approves cleansing decisions, and where nobody has been named yet.

Reconciliation and evidence

Which totals and reports must match after each test load, and how that match will be evidenced to finance and auditors.

Cutover blockers

Cleansing, decisions and dependencies that must be finished before test loads or the cutover date can be trusted.

06 — Questions

Data migration readiness assessment FAQ.

How long does the readiness assessment take?

Five to ten working days, depending on how many source systems, sites and legal entities are in scope. The plan runs in four stages: map the sources, find the risk, prioritise the fix and walk the business through the findings.

How is it priced?

It is a fixed-scope engagement. Scope and price are agreed after a 30-minute data risk call, once the number of source systems, entities and priority reports is clear, so there is no open-ended day rate.

How is this different from a free migration checklist?

A checklist tells you what to look at. The assessment does the looking: it inventories your sources, logs the actual data issues, names owners and ranks the fixes. Start with the free ERP data migration checklist if you want to self-assess first.

Which ERP systems does it cover?

It is vendor-neutral. The checks apply to any ERP migration, and Digital Adaption has led migration work on Infor LN, including a four-system consolidation onto Infor LN Cloud.

When is the right time to book it?

Before import templates, test loads or a cutover date are fixed. That is when data issues are cheapest to fix. It also helps after go-live if reports no longer reconcile to the ERP.

What happens after the assessment?

You keep the source inventory, issue register, reconciliation checklist, owner matrix and prioritised fix plan. Your team or ERP partner can deliver the fixes, or Digital Adaption can support the data migration itself.

Start with a 30-minute data risk call

Find out whether the review is the right first step.

Tell me what needs to migrate, what no longer reconciles, or which report the business no longer trusts. If there's a fit, we scope the review together.