Enterprise Data Integration
Enterprise Data Integration Across Business Applications
Keep two or more live applications synchronized on an ongoing basis — scheduled, incremental, or event-driven, with monitoring built in.
Ongoing Synchronization, Not a One-Time Move
A migration moves data once (or across a handful of cutover cycles) and ends. Integration keeps two or more live applications synchronized on an ongoing basis — new hires flowing from HCM to payroll, course completions flowing from an LMS to HR, or CRM opportunities flowing into ERP order management.
Examples: Cornerstone to Oracle Learning, Oracle HCM to SAP ECP during a parallel-run period, Workday to a downstream payroll provider, SuccessFactors to ADP, or CRM-to-ERP synchronization.
What's In Scope
How Ongoing Integration Differs From Migration
Integration interfaces run on a schedule (or are triggered by events) indefinitely, not just through a cutover window. That changes the engineering emphasis: idempotency (the same record processed twice shouldn't create a duplicate), replay prevention, monitoring for silent failures, and identifier cross-reference tables that stay valid over years, not just during a project. DataLens's operational monitoring — pipeline status, queue depth, throughput, failed jobs, data freshness — is built for exactly this ongoing-operation pattern.
Security and Privacy
Indicative Timeline
| Project Type | Illustrative Duration | Qualification |
|---|---|---|
| One file-based interface | 4–8 weeks | Depends on formats, frequency and validation |
| One standard API interface | 6–10 weeks | Depends on API access and objects |
| Bidirectional interface | 8–14 weeks | Requires identifier and conflict management |
| Multi-object HCM/payroll integration | 10–18 weeks | Depends on payroll and country rules |
| Multi-application integration programme | Discovery required | Depends on interfaces and operating model |
Ranges above are illustrative starting points, not quotes — every programme is scoped individually.
Information We Need for an Estimate
Product Ownership
DataMove
Executes the scheduled or event-driven data movement between systems.
DataVault
Preserves cross-system identifier mappings and reconciliation evidence.
DataLens
Monitors pipeline health, throughput, failed jobs and data freshness.
Related Solutions and Systems
Frequently Asked Questions
How is this different from a migration?+
A migration moves data once (or across a few cutover cycles) and ends. Integration keeps applications synchronized indefinitely on a schedule or event trigger. If you need a one-time move, see Cross-Platform Migration or Oracle Fusion Migration instead.
What happens if an integration run fails partway through?+
Failed and retried records are tracked with replay prevention, so a retry doesn't create duplicate records in the target. Failed jobs and their status are visible through operational monitoring.
Can integration run alongside a migration project?+
Yes — a common pattern is a parallel-run period where two systems are kept synchronized (for example old and new payroll) before fully cutting over, which is exactly the ongoing-integration pattern this solution covers.
Does this include monitoring and alerting?+
Yes. Pipeline status, queue depth, throughput, failed jobs and data freshness are tracked through DataLens's operational monitoring.
Discuss Your Integration Requirement
Tell us which applications need to stay synchronized and how often.