Oracle Fusion AI Services
Data & AI Services
Microsoft Azure Services
Oracle Fusion AI Services
Data & AI Services
Microsoft Azure Services
Mergers & Acquisitions · Oracle Fusion · HCM · ERP · SCM · EPM · DMOne™ · OIC · Multi-Source
Mergers, acquisitions, and divestitures impose data integration and migration deadlines that the rest of the programme does not — legal completion dates that cannot move, multiple source systems with conflicting master data, and coexistence periods that require both old and new systems to remain accurate simultaneously. eAppSys delivers the data workstream for Oracle Fusion M&A programmes — source assessment, entity mapping, DMOne™ migration, OIC integration, and cutover management.
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Profiled before a transformation rule is written. Deduplication rules agreed with data owners. Resolved in the source before loading begins — not after.
Cutover rehearsals begin early. Go/no-go criteria are defined and agreed. Data quality issues that cannot be resolved before cutover are risk-accepted in writing by the data owners .
Integration workstream designed for the coexistence period specifically — not just the end state. Monitoring, alerting, and reconciliation built into the OIC integration from the start.
Source profiling at programme start. Remediation plan agreed with the acquired business data owners. Migration scope adjusted where historical data cannot be recovered.
Source system inventory — every system holding data that must move into Oracle Fusion. Data volumes, quality, and structural characteristics profiled. Migration scope and exclusions agreed.
OIC integrations for the coexistence period built and tested — data feeds, reconciliation interfaces, and interim reporting connections between legacy and Oracle Fusion.
Entity mapping: legal entities, chart of accounts, cost centres, item master, supplier master, employee identifiers. Conflict resolution rules agreed with the data owners from both organisations.
Two or more cutover rehearsals against the full runbook. Timing validated. Issues identified and resolved. Data owners briefed on their sign-off responsibilities before the live weekend.
Migration design per data object and per source system. Integration design for the coexistence period. Cutover runbook drafted. Go/no-go criteria defined.
Live cutover executed against the rehearsed runbook. Go/no-go gate cleared by Finance and HR data owners. Hypercare begins immediately — same team, same day.
DMOne™ iterative load cycles — sample data first, then full volumes. Reconciliation report produced at each cycle. Data owners review and approve before the next cycle runs.
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