Data Migration Center
Mapping
9 open mapping issues92%
Suppliers, customers, employees, GL accounts, POs, invoices, contracts, workflows, and users mapped to Zindigo objects.
Validation
Supplier banking errors88%
Required fields, formats, duplicates, banking, tax, HR privacy fields, and customer identifiers validated.
Cleansing
Data lead review84%
Duplicates, stale records, missing tax data, inactive suppliers, and inconsistent customer names corrected.
Import
Production import scheduled76%
Master data imported into sandbox and staged for production cutover.
Reconciliation
Open supplier variance81%
Source-to-target counts, totals, unmatched records, and exception evidence reconciled.
Migration Reports
Ready for steering committee90%
Migration summary, errors, reconciliation, approval evidence, and sign-off reports prepared.
AI Implementation Advisor
Project planning
High
Implementation plan is missing executive success review milestone for Analytics and Agents.
Add success review milestone before cutover.
Improves adoption accountability
Risk prediction
High
Migration risk increased because supplier bank fields have 9% validation errors.
Prioritize cleansing and reconciliation before ERP connector testing.
$240K payment-readiness risk reduced
Missing tasks
Medium
HR and Customer role-based training plans have no certification owners.
Assign CHRO and CRO delegate reviewers.
Protects go-live readiness
Dependency analysis
High
Finance testing depends on Procurement supplier readiness and Developer API credential approval.
Create cross-workstream blocker and owner.
Prevents UAT delay
Configuration recommendations
Medium
Trust policies should be activated before AI Studio automation testing.
Enable policy set and run governance validation.
Improves audit readiness
Go-live readiness
High
Readiness score can improve from 88 to 94 if migration variance and UAT defects close this week.
Focus daily standup on migration and UAT burn-down.
Raises go-live confidence