paricon
paricon Solutions

SAP Data Migration
to S/4HANA

SAP Data Migration S/4HANA – Data Migration Framework

With the field-proven Data Migration Framework, you transfer existing data to SAP S/4HANA faster, more reliably, and completely. Six proven, automatable migration phases eliminate manual spreadsheet work, and every step is logged in an audit-ready manner. Project risks decrease significantly, and project effort can be reduced by up to 50%. The targeted, optional use of AI-based process steps enables a further substantial reduction in project effort.

High-performance
Selection & Load Functions

Standard adapters extract & load SAP objects consistently and with high performance.

Audit-Ready
Logging

Complete logs make every migration step audit-ready.

Extensive
Business Content

Pre-built objects for R/3, non-SAP, and S/4HANA migrations.

Rule Engine &
Cockpit for DQ Analyses

Create mapping, cleansing, and reconciliation rules via UI or with AI assistance.

Companies already benefiting from our Data Migration Framework

The Challenge

Migrate by 2027...

The clean transfer of historical data determines the success or failure of every S/4HANA transformation. Standard solutions such as the SAP Migration Cockpit hit their limits as soon as non-SAP sources, custom fields, or large data volumes are involved. This is exactly where the Data Migration Framework steps in – along with our experienced paricon team: our solution automates every step, while paricon experts refine mapping logic, prioritize quality rules, and coach teams through transformation projects as needed. End customers get a "tool-plus-know-how" package, and implementation partners gain an accelerator with delivery support.

Effort and Go-Live Risk
The SAP Migration Cockpit provides a solid baseline for standard objects, but reaches its limits with custom fields and tables: it leaves additional coding to do and lacks built-in data validation, harmonization, and cleansing – in practice, many Excel iterations.
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Effort and Go-Live Risk

The SAP Migration Cockpit provides a solid foundation for standard objects, but custom fields, customer-specific tables, and complex dependencies require additional coding and endless Excel iterations. Industry studies show that 60 percent of SAP migration projects exceed their budget and only 8 percent are completed on schedule (Horváth, 2025).

Every manual iteration increases the risk of errors and puts the go-live date at risk. An automated SAP Data Migration that also covers complex object structures markedly reduces this risk and is the more reliable safeguard.

Lack of Data Transparency
Without upfront analysis, quality defects – such as null values or invalid keys – remain hidden until the final integration test.
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Lack of Data Transparency

In many S/4HANA migration projects, data quality problems only become visible during the final integration test, at the point when corrections are most expensive. In practice, a significant share of records – 35 to 65% depending on the starting point – needs cleansing before an SAP Data Migration, and poor data quality is one of the main drivers of cost overruns. 77% of organizations cite data management as their greatest challenge in S/4HANA migration (Computer Weekly). Our smartscan, run ahead of the actual migration, systematically surfaces these deficiencies – including null values, invalid keys, and inconsistencies.

Audit Readiness Under Pressure

Audit-relevant logs can only be produced in fragments using standard tooling; missing logs can, in the worst case, lead to an IDW finding just before go-live.

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Audit Readiness Under Pressure

Auditors require complete documentation for every SAP data migration: which data was transferred where, which transformation rules were applied, which records were corrected? How was the migration scope agreed upon, and how were business consistency and completeness verified? SAP standard tools can only produce this traceability in fragmented form.

In the worst case, missing audit documentation leads to an IDW finding shortly before go-live that can delay the project by weeks. Given that only 8% of S/4HANA migrations meet their original schedule (Horváth, 2025), fully traceable, audit-grade logging is a critical project component.

up to  0 %

Accelerated Migration Projects

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Implemented Migration Projects

0 M+

migrated records

The Solution

Data Migration Framework – SAP Data Migration S/4HANA

What is the paricon Data Migration Framework?

The framework is a fully ABAP-integrated SAP Add-On that delivers all six phases of data migration in a single package – from smartscan to reconciliation. It supports R/3, non-SAP, and S/4HANA sources and is available to both clients and partners for transformation projects. Our comprehensive Migration Content covers all SAP objects and can easily be extended with customer-specific objects – reducing implementation effort and replacing bespoke ABAP scripting.

  • Fully Integrated Add-On

  • Source-agnostic – SAP & Non-SAP

  • Business Content and Low Code editor minimizes coding

SAP Data Migration S/4HANA – Data Migration Framework
  • smartscan surfaces Data Quality gaps immediately

  • AI Mapping Reduces Rule Maintenance

  • Audit Trail per Run

The Data Migration Framework begins with a smartscan that surfaces Data Quality and system usage early. The required data is then extracted in an object-specific and consistent manner and validated and cleansed via a rule set and cockpit. In the next step, AI-assisted mapping automatically generates field assignments and reduces manual maintenance effort. Loading then takes place via SAP interfaces for a reliable transfer to the S/4HANA target. Finally, the reconciliation step delivers meaningful reports and dashboards, enabling faster, more transparent, and audit-compliant migration iterations.

Why the Data Migration Framework?

With the paricon Data Migration Framework, your S/4HANA migration becomes plannable: smartscan delivers visibility into data quality and system usage within minutes. Pre-configured migration content and AI-assisted mapping reduce manual effort – with no modifications to the SAP standard (Clean Core compliant). This helps you avoid costly surprises, work iteratively in well-defined cycles, and manage quality and progress through reports and dashboards – through to a confident Go-Live.

Schwäbisch Hall – S/4HANA data migration reference project

Case Study: Schwäbisch Hall

  • Iterative & automated:

    Repeatable migration cycles from extraction to reconciliation, with each iteration faster than the last.

  • Audit-ready

    Complete audit logs per run for maximum traceability in regulated environments.

  • Less Manual Effort:

    Business Content + AI mapping accelerates mapping, validation, and corrections.

FAQ

Frequently Asked Questions

Here you will find answers to the most common questions about the Data Migration Framework.

How long does the Data Migration Framework implementation take?

Thanks to smartscan and paricon expertise, much of the concept phase is eliminated; initial migration iterations typically begin shortly after installation, because pre-configured business content and high-performance selection functions are ready to use immediately.

Still have questions?

Our experts are happy to help in person!

Contact our experts

RELATED CONSULTING

The following consulting services support the use of this solution:

"With the Data Migration Framework, we transfer SAP data of any scale, from a handful of clients to multiple TB, to S/4HANA quickly, securely, and in an audit-ready manner."

– Christoph Lodes, Data Migration Expert

Whether Green-, Brown-, or Selective Transition: book a free live demo now and see how the framework accelerates projects of any size – from initial analysis through to Go-Live.

Christoph, SAP expert for Data Migration at paricon
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