ERP data migration
Prepare finance, stock, supplier, customer, product and operational records before a new ERP or finance system goes live.
Liverpool data migration consultant
A migration project usually looks technical from the outside. Inside the business, the hard part is deciding what the data means, who owns it, which records are trusted and how the new system will be proven right. Digital Adaption helps Liverpool SMEs handle that practical data work before cutover turns small issues into expensive delays.
Prepare finance, stock, supplier, customer, product and operational records before a new ERP or finance system goes live.
Clean duplicates, inactive records, ownership fields, status definitions and sales-stage logic before CRM import.
Protect management reporting by documenting KPI definitions, spreadsheet logic, Power BI dependencies and reconciliation checks.
Review source systems, reports, owners, live issues, export quality and the decisions needed before migration testing.
Rank duplicates, blanks, invalid values, inactive records and inconsistent codes by the damage they could cause at cutover.
Define field mappings, transformations, defaults, mandatory values, validation rules and unresolved business decisions.
Create checks for record counts, balances, totals, statuses, exceptions and reports before and after go-live.
Agree who signs off customer, supplier, product, finance and operational data changes, including exception handling.
Give your implementation partner cleaner evidence, clearer rules and fewer late-stage data surprises.
Companies moving beyond spreadsheets, ageing finance systems or disconnected CRM data and needing a cleaner operating platform.
Businesses with years of legacy records, manual reporting and informal data knowledge that needs translating into a safe migration plan.
No. Digital Adaption supports SMEs across the UK, with a North West focus covering Liverpool, Wirral, Merseyside and surrounding areas.
Yes. Many reviews happen once import templates, test loads or reporting requirements have exposed data-quality risks.
The first step is a short call to understand the target system, source systems, project timeline, known data issues and current reporting risks.
Check the source data, mapping and reconciliation route before cutover pressure starts.