Product
Automate data validation, standardization, and deduplication using machine learning models tailored to SAP environments. Improve master data quality, reduce manual cleanup, and increase confidence in reporting and migration initiatives.
SAP environments accumulate years of master data debt: duplicate customer records that never get merged, vendor entries with inconsistent classifications, material master tables full of obsolete pricing and inactive SKUs. Manual cleanup is slow, error-prone, and unsustainable.
The DEBCOR AI Data Cleansing Tool brings machine learning to SAP master data. It scans your environment for duplicates, inconsistencies, and validation gaps, then applies ML models trained on enterprise SAP schemas to score, merge, and standardize records — automatically.
The tool is purpose-built for two moments in the SAP lifecycle: before a migration — cleansing data before it reaches Migration Cockpit so the move to S/4HANA starts on a clean foundation — and during ongoing operations, running as a continuous data-quality agent that prevents drift over time.
Unlike traditional master data management (MDM) tools, the DEBCOR AI Data Cleansing Tool does not replace your MDM stack. It runs upstream, resolving the data-quality issues that MDM platforms struggle with — leaving your MDM to govern what's already clean.
Features
The matching engine works across customer (KNA1), vendor (LFA1), material master (MARA), pricing condition records, and custom Z-tables. Fuzzy matching handles language variations, formatting differences, abbreviations, and partial records. Each potential duplicate is scored — your team configures the confidence threshold for auto-merge versus human review.
Before your migration team opens Migration Cockpit, the tool runs a full readiness sweep: field-level validation against the S/4HANA schema, dependency checks across related records, and audit trails for every transformation. Migration starts on a clean foundation — and your governance team has the evidence trail to prove it.
The Challenge
Every migration, report, or system rollout depends on the quality of your data. Dirty, duplicate, and incomplete records lead to missed deadlines, broken processes, and eroded executive confidence.
Manual cleanup is slow, error-prone, and unsustainable. You cannot scale transformation on bad data or realize the full potential of AI with inconsistent, unreliable information.
How it works
Identify duplicates, inconsistencies, and errors across master and transactional data tables.
Apply machine learning and rule-based logic to automatically correct, merge, and standardize records.
Track improvements, compliance, and audit history through detailed reports and dashboards.
Yes. It is optimized for both and ideal for use before or after migration.
No. It enhances MDM by resolving upstream data issues, allowing your MDM to function more effectively.
Most clients are up and running in less than a week.
Yes. The same experts who built the tool support its deployment and success.
All SAP master data domains across both ECC and S/4HANA — customer (KNA1), vendor (LFA1), material master (MARA, MAKT, MARC), pricing condition records, and custom Z-tables. The tool ships with prebuilt validation rules for the standard tables; custom tables are configured during deployment.
The tool runs inside your SAP landscape — data never leaves your environment. No SAP records are sent to external services. Audit logging is built in for compliance and regulatory teams.
Notable clients
Where we work
Client experience
“DEBCOR's white-glove approach to consulting isn't just a tagline — it's the reality of their service. They've been our trusted partner for many years because of the integrity of their approach. At our request, they cleaned up our technical debt and prepared us for S/4HANA. The migration only took four months — we were down for maybe a weekend, then back to business with no loss in revenue.”
AI-powered consulting for SAP Public Cloud, S/4HANA, BTP, and integrations.
