Confidential Enterprise Client

The Challenge

The engagement required migrating two critical Oracle data domains — Revenue Management (RM) and Customer Information Management (CIM) — from legacy on-premises systems to Oracle Cloud, across 14 interdependent staging tables. The pipeline had to integrate KDE source file repositories, Oracle Integration Cloud (OIC) for orchestration, OCI Object Storage for file staging, and 12 OCI Data Integration jobs (10 RM, 2 CIM) — each requiring individual monitoring and targeted rerun capability without full pipeline restart. The environment contained accumulated data quality issues including duplicate contacts and scheduled bulk import job errors across all 14 tables, which had to be identified and remediated during UAT before production migration could proceed. The reconciliation standard was absolute: zero mismatches at match_flag validation level, with any discrepancy requiring root-cause analysis and full upstream re-execution before cutover approval could be sought.

Our Solution

GYSP delivered the engagement as a dedicated Oracle resource, owning the full migration pipeline from staging environment preparation through to production bulk import. Step 0 established a provably clean baseline by truncating all staging tables and confirming zero row counts before any data movement began. Source files were validated against naming, size, and format specifications before KDE upload. OIC orchestrated file transfer to OCI Object Storage and triggered all 12 DI pipelines — each monitored individually to SUCCEEDED status, with targeted reruns applied for any failure rather than full pipeline restarts. Row counts across all 14 staging tables were captured and tracked in the Legacy Import Tracker at every phase for full auditability. Reconciliation output files in OCI Object Storage were analysed at record level — match_flag = 1 confirmed data fidelity; any match_flag = 0 triggered immediate root-cause investigation and upstream re-execution. The final bulk import step was executed only after explicit stakeholder approval, with live monitoring for duplicate and lock errors, followed by final row count comparison against reconciliation baselines and sample record validation. Oracle Analytics Cloud (OAC) was configured as the analytics and reporting layer over the migrated Oracle Fusion dataset, enabling stakeholders to visualise migrated data, validate integrity post-cutover, and generate the audit-ready reports required for sign-off.

Key Deliverables

• 8-phase structured migration pipeline (Step 0–7) with rollback-safe design and full audit trail
• 12 OCI Data Integration jobs (10 RM + 2 CIM) individually monitored and validated to SUCCEEDED status
• Zero data mismatches at reconciliation — match_flag = 1 confirmed across all records before cutover
• UAT defect resolution: duplicate contact removal and bulk import job error remediation across 14 tables
• Legacy Import Tracker maintained throughout all phases for row-count auditability per stakeholder
• Oracle Analytics Cloud (OAC) configured as the post-migration analytics and reporting layer over Oracle Fusion data
• Executive Summary reports generated and uploaded at each milestone — complete artefact set preserved for audit

Services Delivered

• Oracle Cloud Migration
• Data Engineering
• OCI Architecture
• Oracle Analytics Cloud (OAC)
• UAT & QA

Tech Stack

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