Product overview

Fuzzy Clean for AI-assisted data cleansing.

Fuzzy Clean supports SAP master data cleansing, identifies similar records and highlights duplicates early. This is particularly relevant before data migrations, transformations and larger data quality initiatives.

Why it matters

Where fuzzy matching helps with SAP data

01

Master data cleansing

Similar records become visible before duplicates affect processes, reporting or migration.

02

Migration preparation

Data quality can be assessed earlier and cleansing work built into the project plan.

03

Visibility across existing data

Established SAP datasets become easier to understand, especially where different spellings coexist.

04

Operational prioritisation

Business teams can identify earlier which data objects need to be checked and cleansed first.

Benefits

Product and consulting work together

Fuzzy Clean complements SAP data migration and master data cleansing with a practical operational perspective. Data problems are not just identified; they become easier to address.

In projects with extensive historical data and many spelling variations, this early visibility can be particularly valuable.

Fuzzy Matching Duplicate detection Master data SAP data quality

S/4HANA readiness checks

Central checks for addresses, VAT IDs and duplicates

Many programmes need an early Business Partner data quality check to prevent VAT ID validation (VIES), address data, field hygiene and duplicates from causing blocks and rework.

Escarion establishes a central validation process and uses Fuzzy Clean for duplicate analysis and prioritising cleansing cases. Find out more on our page about Business Partner data quality before S/4HANA.

Next step

Discuss your use case

If you want to assess duplicate detection, master data cleansing or fuzzy matching in your SAP environment, a short conversation is the quickest way to get started.