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Automated
SAP Data Integration

SAP Data Integration – Data Integration Framework

Whether you use the Data Integration Framework for a unified S/4HANA interface migration or for the highly automated operation of your data flows, you achieve maximum efficiency with minimal implementation effort. State-of-the-art interface technology and integrated controls deliver immediately tangible improvements: higher data quality and transparency, reduced maintenance overhead, and faster data supply across your SAP landscape.

Seamless Multi-System Integration

Reliably connect SAP and non-SAP systems (on-premises & cloud/BTP) in batch, near-time, or real-time.

Convenient
Error Handling

Business and IT teams resolve data issues in the cockpit either manually or through rules, via a clear error and monitoring dashboard.

Versioned
Data Mapping

All changes to technical and functional mappings are fully versioned and documented in a traceable manner; consistent data transfers are guaranteed at all times.

Complete
Data Lineage

All interface processing steps are logged securely, enabling data flows to be traced in an audit-compliant manner at any time.

Companies that rely on SAP Data Integration with the Data Integration Framework

The Challenge

Integration Barriers in SAP Landscapes

Complex SAP environments accumulate interface sprawl that has grown over years – typically individual point-to-point connections with no standardization. Lack of visibility into these data flows hampers both error analysis and compliance with increasingly stringent audit and compliance requirements (Data Lineage being a key example). At the same time, new cloud and on-premise systems must be connected securely on an ongoing basis without losing oversight. Exponentially growing data volumes and rising real-time demands push the operational effort for interface management ever higher. Without a high degree of automation, lengthy project timelines and manual interventions become unavoidable – particularly during S/4HANA migrations or when provisioning test environments. The consequence: operational risks and costs rise, and critical projects stall.

Interface sprawl & maintenance costs
Disparate interface solutions and custom add-ons result in high maintenance overhead and a greater risk of errors.
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Interface sprawl & maintenance costs

In established SAP landscapes, point-to-point connections quickly generate hundreds of individual interfaces – connecting just 20 systems already requires 190 or more separate integration points. Each of these custom SAP interfaces typically incurs a four- to five-figure annual maintenance effort, and must be retested with every SAP release or support package.

The result: in many organizations a large share of the IT budget – 60 to 80% by various studies – goes into maintaining existing systems rather than driving innovation (Gartner). Without a unified approach to SAP Data Integration, technical debt grows with every new system connected. The answer lies not in further custom development, but in standardizing and consolidating your interface architecture.

Opaque Data Flows (Compliance Risk)
Without central control and logging, interface activities often remain opaque.
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Opaque Data Flows (Compliance Risk)

When data flows run across various SAP interfaces and third-party systems without central documentation, Data Lineage is missing: the complete traceability of every data movement. This underpins the records of processing activities required under Art. 30 GDPR, and for financial institutions DORA has raised the bar further since January 2025: traceable audit trails and robust documentation of ICT processing activities have become far more important, and DORA breaches can trigger significant supervisory sanctions depending on severity.

At banks, up to 42 percent of senior-management time goes to regulatory requirements (Bank Policy Institute, 2023). A centralized SAP Data Integration with integrated monitoring creates the transparency auditors expect, and reduces the burden on your business units.

Silent interface errors & stalled processes
Without central, proactive monitoring, interface errors often surface only once a business process has already stalled.
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Silent interface errors & stalled processes

In established SAP landscapes, hundreds of active interfaces often run in parallel – with error cases that have to be reviewed, assessed, and reprocessed every day. Standard tools like the SAP Application Interface Framework (AIF) support monitoring and error handling, but in complex, heterogeneous landscapes they are often not enough to monitor all data flows centrally, proactively, and in a business-process-aware way.

As a result, failed data transfers often surface only when a business unit reports a missing delivery, a stuck posting, or an incomplete data set. Individual interface errors then quickly turn into daily firefighting: manual reprocessing, delayed processes, and an operational risk that keeps growing with every new system.

0 +

Harmonized Interfaces

up to  0 %

Reduced Operating Effort

up to  0 %

Degree of Automation

The Solution

Data Integration Framework - SAP Data Integration & Interface Management

What is the Data Integration Framework?

The Data Integration Framework is an ABAP-based SAP add-on that implements your interface architecture in a unified and efficient way – for SAP and Non-SAP systems, on-premise, hybrid, and cloud architectures, as well as batch, near-real-time, and real-time scenarios. With staging, mapping and validation, Error Cockpit, and monitoring, data flows become transparent, stable, and auditable. Everything runs without modifications, in a dedicated, upgrade-safe namespace – Clean Core remains untouched.

  • Seamless Interface Integration in SAP

  • Consistent Implementation of All Data Flows

  • End-to-End Monitoring & Error Handling

How Does the Data Integration Framework Work?

Inbound: Via predefined adapters, data from SAP and non-SAP sources is loaded into a structured inbound buffer, whether as single records or mass data. The framework supports a wide range of data formats and interface standards, from classic IDocs and RFC/BAPIs to REST/web services and file-based imports. Incoming records pass through configurable validations and quality rules. They are then mapped to the target structures, with support for complex business object structures and dependencies. Implementation is accelerated by our AI-assisted mapping process.

Outbound: For outgoing interfaces, the framework provides a powerful Outbound Layer for flexible selection and extraction of SAP data. Existing SAP extractors (e.g. BW extractors, BAPIs, CDS Views) can be integrated to avoid duplicate development. Large data volumes are handled automatically by built-in parallelization and dispatcher functions for both inbound and outbound. All interfaces are monitored in the central Integration Dashboard; in the event of errors, the system proactively alerts the Error Cockpit, where business or IT users can view the root cause and initiate corrective action with a single click.

Why Data Integration Framework?

When many systems, cloud apps, and frequent releases converge, integration quickly becomes costly, error-prone, and opaque. The paricon Data Integration Framework standardizes your interfaces transparently within your familiar SAP on-premises or Cloud Private Edition environment – without core modifications – and makes data flows audit-ready through monitoring, an error cockpit, and Data Lineage.

  • Fast Start

    through preconfigured content (adapters, BAPI templates, delta logic)

  • Less Effort

    through automation & centralized monitoring (up to 50%)

  • Upgrade-Ready Clean Core

    stable, traceable, future-proof

FAQ

Frequently Asked Questions

Here you will find answers to the most frequently asked questions about the Data Integration Framework.

What Is SAP Data Integration and Why Does It Matter for My Organization?

SAP Data Integration describes the automated connection of SAP systems with other applications, whether SAP-internal systems, cloud services, or third-party systems. Standardized Data Integration is essential: it eliminates data silos, removes manual error sources, and establishes the foundation for reliable analytics and business processes. Without a central integration platform, opaque point-to-point connections multiply maintenance overhead and increase compliance risk. High-quality, efficient Data Integration is the critical prerequisite for leveraging technology innovations such as real-time analytics, AI, or cloud applications.

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RELATED CONSULTING

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"You want to standardize all inbound and outbound interfaces with minimal effort and thereby drastically reduce operating and maintenance costs? I would be happy to walk you through how that can be achieved."

– Florian Ofner, Data Integration Expert

Book a no-obligation conversation now – we will analyze your use case and show you the potential in your system landscape.

Florian, SAP expert for Data Integration at paricon
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