Automated data cleansing

Incorrect or duplicate data records are automatically identified, corrected and harmonized — for greater efficiency, stable processes and fewer disruptions in your SAP landscape.

Scope of services

Detection & cleaning

Automatic identification of incorrect, outdated or contradictory master data (e.g. business partners in IS-U, contract accounts, investments, counting points) as well as rule-based correction.

Duplicate management

Fuzzy matching and merge workflows for duplicates, including conflict resolution and logging.

Standardization & Harmonization

Address, format and value standardization (e.g. postal addresses, IBAN/tax number checks, catalog values) for consistent data.

Validation & plausibilities

Business rules for market roles, device allocation, contract/network usage status, mandatory fields and references.

Automated correction

Mass runs with simulation, rollback options, four-eye approval, and audit-proof audit logs.

Stammdatenqualität

Use & benefits

In the energy industry, our data cleansing is used wherever data quality is business-critical: before migrations, when harmonizing several companies, before mass billing, in market communication or to stabilize ongoing processes. In this way, you reduce sewage treatment, avoid process interruptions and increase the level of automation.

Economic added value

Your added value: significantly fewer tickets and manual rework, faster billing processes, lower process costs and a reliable basis for analytics and automation. In short: better data, less effort, higher customer satisfaction.

Fordern Sie unsere Expertise an

Nutzen Sie praxiserprobte Beratung und Lösungen, die mit Leidenschaft und Expertise Ihre IT- und Energiewirtschaft zukunftsfähig machen. Beauftragen Sie UTILIGENCE und erzielen Sie messbare Ergebnisse – effizient, skalierbar und passgenau für Ihre Anforderungen.

Welche SAP-Schwerpunkte und Module (z. B. S/4HANA, IS-U/US4G) deckt UTILIGENCE ab?
Wie unterstützt UTILIGENCE die S/4HANA-Transformation – Greenfield, Brownfield oder Selective Data Transition?
Wie stellt UTILIGENCE Datenqualität, Systemintegration und Compliance (z. B. MaKo-Prozesse) sicher?
Welche Leistungen bietet UTILIGENCE nach dem Go-live: Support, Monitoring, Schulungen und Weiterentwicklung?

Weitere Stammdatenqualität Leistungen