Our Migration Methodology
A business-led approach to delivering successful data migrations
BIDM (Business Integrated Data Migration) aligns business owners, data owners and technical teams through a structured framework that improves visibility, accountability and delivery confidence.
Why BIDM exists
Too often, data migration is treated as an IT task. When business teams are not involved, risks increase. Critical reporting requirements get missed, data definitions are not agreed and issues surface late in the programme.
BIDM was developed to ensure migrations are understood, governed and validated by the people who know the data best.
- Business and data owners stay involved
- Clear ownership and governance
- Early validation and issue resolution
- Reduced risk and rework
- On-time delivery with confidence
How BIDM works
A simplified view of how BIDM keeps business, data and technical teams aligned from planning through to sign-off.
Each stage includes client review, DataMC delivery support and evidence captured through DM REVOLVE.
Align
Agree objectives, owners, scope and success criteria together.
Select
Business owners validate data in scope and why it matters.
Map
Data owners and SMEs review source-to-target rules and mappings.
Prepare
DataMC prepares, transforms data and prepares load cycles.
Validate
Business reviews quality, exceptions and reconciliation evidence.
Sign Off
Client teams confirm readiness before controlled go-live.
Powered by DM REVOLVE. Real-time visibility of the migration process, tasks, data and evidence at every stage. Learn more
Who is involved
A business-led partnership across the migration lifecycle.
Business Owners
Define requirements and outcomes.
Data Owners
Provide insight and validate data quality.
Technical Teams
Execute, transform and manage the data.
Programme Leadership
Govern, prioritise and make informed decisions.
Verification is built in
BIDM embeds validation, reconciliation and business sign-off throughout the migration lifecycle – so you can prove data is accurate, complete and ready.
Verification outcomes
- Built-in data quality checks
- Reconciliation and evidence capture
- Business sign-off before go-live
- Reduced risk and increased confidence