A structured approach to data preparation

Data Quality & Migration Suite for SAP S/4HANA programs

5 minute read
December 05, 2025

As organizations transition to SAP S/4HANA, data readiness plays a central role in enabling a smooth migration. PwC’s Data Quality & Migration Suite is designed to provide a structured approach to data profiling, cleansing, transformation and validation activities—helping teams prepare and assess data during each phase of the migration lifecycle.

Drawing from insights in PwC’s migration and reconciliation capability, the Data Quality & Migration Suite includes dashboards, design templates, configurable rules, support for address validation and technology-enabled tools that help teams navigate complex datasets and legacy sources.

Key features

The Data Quality & Migration Suite includes components designed to assist organizations with visibility, consistency and coordinated data preparation efforts during SAP S/4HANA programs:

Dashboards: Provide near real-time views of migration progress and data quality indicators, helping teams monitor data conditions, error counts and trends across cycles.
Design templates: Access to more than 100 master data design templates to help guide structure and documentation.
Conversion rules: Predefined rules aligned to SAP S/4HANA target designs to help support transformation logic.
Data quality rules: A library of 2,000+ rules covering accuracy, completeness, integrity and other dimensions.
Address validation: Supports address quality management using trusted validation capabilities.

Understand your data migration journey

The Data Quality & Migration Suite dashboards can provide near real-time updates on migration status, error counts, and detailed error analysis. This enables leadership to follow along on the data migration efforts and make proactive adjustments to address risks far in advance of them becoming issues impacting schedule or quality.

Enhancing data migration with generative AI

In a rapidly changing technological landscape, the Data Quality & Migration Suite was designed with the business in mind. These solutions leverage next-generation AI technology to tailor solutions to client needs and reduce manual effort on business stakeholders, while also improving efficiency on the development side for data profiling, cleansing, and validations.

Data mapping generator: Creates definitions for source and target fields and tables, and develops a draft of source-to-target mappings for legacy systems in both natural language and SQL scripts.
Natural language querying: Allows users to query directly from a database using standard English, enabling any client stakeholder to review data quality without any coding experience.
(Coming Soon): Dataset comparator: Compares schemas across keys and descriptions to generate granular reports of matches and mismatches across the schemas.

100+

master data design (MDD) templates can expedite data migration design.

2,000+

embedded data quality rules to confirm high data integrity and reliability.

30%

Can prepare 30% more data for validation for each test cycle, enabling timely data readiness.

Up to 70%

Saves up to 70% of business user validation time during mock cycles or cutover data loads.

Explore DQMS capabilities

Learn how PwC helps teams prepare data for SAP S/4HANA programs

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Jeff Kocur

Principal, SAP Technology & Transformation, PwC US

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