EAM
Integrations

Connect EAM to SAP, Oracle, Dynamics 365, GIS, SCADA, and custom platforms — with REST APIs, ETL pipelines, and middleware built for reliability and maintainability.

REST API & ETL SAP & Oracle Secure & Auditable Real-Time Sync
40+ EAM integrations delivered
10+ Enterprise platforms connected
99.9% Integration uptime SLA maintained
Overview

EAM doesn't work in isolation - and neither should your data

Most asset-intensive organisations run EAM alongside SAP or Oracle financials, Dynamics 365, GIS platforms, SCADA systems, and custom operational applications. Getting these to share data accurately - in real time - is where most EAM programmes stall.

At DynamicUnit, we design, build, and maintain EAM integrations that are production-grade: properly error-handled, logged, documented, and supportable. Whether you need a direct REST API bridge, an ETL pipeline, or a middleware layer for complex multi-system orchestration, we build it to last - not just to pass a UAT sign-off.

Our integration work is part of a broader EAM implementation practice. We also connect EAM data to Power BI for maintenance dashboards, and to Dynamics 365 integration layers where EAM and D365 need to share financial and procurement data bidirectionally. For organisations using Azure as their cloud backbone, we leverage Azure Integration Services for complex orchestration scenarios. Our data migration team also handles the initial historical data load when integrations require baseline synchronisation, and our implementation support practice can audit existing integrations that are underperforming.

Platforms we connect

  • SAP ECC & S/4HANA (finance, PM, MM)
  • Oracle EBS & Cloud Financials
  • Microsoft Dynamics 365 F&O
  • Esri ArcGIS & Smallworld GIS
  • SCADA / historian systems (OSIsoft PI, Wonderware)
  • REST & SOAP API endpoints
  • Custom middleware & ETL pipelines
Industries We Serve

EAM integrations for your industry

Energy & Utilities

EAM-to-GIS bidirectional sync for network asset management, SCADA-triggered condition-based maintenance, and financial postings to SAP or D365 F&O.

Oil & Gas

Real-time integration between EAM and process historians, SAP PM-to-EAM migration bridges, and safety-critical work permit system connectivity.

Manufacturing

EAM-to-ERP integration for purchase orders and cost postings, IoT sensor feeds for predictive maintenance, and MES system connectivity for production line assets.

Water & Wastewater

Spatial asset management through GIS integration, regulatory compliance data feeds, and SCADA integration for pump station and treatment plant monitoring.

Our Capabilities

Every integration type your EAM ecosystem needs

From point-to-point API connections to complex multi-system orchestration - we build integrations that actually work at scale.

SAP & Oracle Integration

Bi-directional sync of purchase orders, cost postings, asset values, and vendor data between EAM and SAP or Oracle financials.

Dynamics 365 Integration

Connect EAM to D365 Finance & Operations for unified financial postings, project accounting, and procurement workflows.

GIS Integration

Link EAM asset records to spatial features in Esri or Smallworld GIS - enabling map-based work order creation and location-aware reporting.

SCADA & Historian Integration

Feed real-time sensor and operational data from SCADA/historian systems into EAM to trigger condition-based maintenance.

Custom REST API Development

Build bespoke API connectors and webhooks for in-house applications, IoT platforms, or third-party SaaS tools that lack native EAM integration.

ETL Pipeline Design

Design and deploy Extract-Transform-Load pipelines for bulk data exchange, scheduled sync, and historical data loads with full audit trails.

Middleware & ESB

Build middleware layers that orchestrate data across multiple systems, handle transformation logic, and manage error recovery automatically.

Security & Compliance

All integrations are built with OAuth/token auth, encrypted transport, role-based access, and full logging for GDPR and ISO 27001 compliance.

Why DynamicUnit

Why our integrations outlast the project

Most integration projects work on day one. The question is whether they still work reliably six months later when the source system is upgraded or the data volume triples. Here's how we build for longevity.

EAM + ERP Domain Knowledge

We understand the data models on both sides - EAM's tables and SAP/Oracle/D365 structures - so mappings are accurate from day one.

Production-Grade Error Handling

Every integration we build includes structured error logging, retry logic, alerting, and dead-letter queues - not just happy-path testing.

Fully Documented Deliverables

Data flow diagrams, field mapping specifications, API contracts, and runbooks - so your team can support the integration without us on speed dial.

Security First

Encrypted transport, token-based authentication, least-privilege service accounts, and regular credential rotation are standard - not extras.

Built to Scale

Integrations are designed to handle growing data volumes and additional platforms without needing a complete rebuild when your estate expands.

Ongoing Integration Support

We provide SLA-backed support for live integrations - covering monitoring, upgrades, and rapid response when a connected system changes.

How We Work

From mapping to production in 4 phases

1
Integration Discovery & Data Mapping

We document the data flows, field mappings, transformation rules, and business logic for each integration point. You get a clear specification before any development starts.

2
Development & Error Handling

We build the integration using REST APIs, ETL pipelines, or middleware - with structured error handling, retry logic, dead-letter queues, and comprehensive logging from day one.

3
Testing & Reconciliation

We run integration testing with production-scale data volumes, validate field-level accuracy, and provide reconciliation reports that your team signs off before go-live.

4
Go-Live & Managed Support

We deploy to production, configure monitoring and alerting, and provide SLA-backed support covering proactive monitoring, version management, and rapid response when connected systems change.

FAQ

Common questions about EAM integrations

EAM exposes REST and SOAP web services, supports direct database views for read-only reporting, and has a native integration framework for scheduled data exchange. We work with all of these, and also build middleware layers where direct integration isn't appropriate.

Yes. We build real-time bi-directional integrations between EAM and SAP ECC or S/4HANA — covering purchase orders, goods receipts, cost centre postings, functional locations, and equipment master data. The approach depends on your SAP landscape and latency requirements.

All integrations we build include structured error handling with retry logic, dead-letter queues for failed messages, alerting to a named operations team, and a reconciliation process for identifying and resolving data discrepancies. Errors don't silently disappear.

We account for this in our designs by versioning APIs, using abstraction layers, and documenting all integration touchpoints. When a source system is upgraded, we assess the impact, update the integration, and regression-test the data flow before promoting to production.

Yes - we offer SLA-backed managed support for all integrations we build. This covers proactive monitoring, rapid response to integration failures, version management when connected systems change, and quarterly health checks of data flows and error rates.

A single point-to-point integration (e.g. EAM-to-SAP purchase order sync) typically takes 4–8 weeks and sits in the low-to-mid five-figure range. A multi-system integration programme covering ERP, GIS, and SCADA usually runs 3–6 months. We provide a fixed-scope quote after the integration discovery and data mapping phase so you know the exact investment before development begins.

Need to connect EAM to another system?

Tell us what you're integrating and where the pain is - we'll walk you through the right approach and what a realistic timeline looks like.

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