Data Services – Data Quality Management – DS30

Data Services – Data Quality Management – DS30 develops practical capability in SAP Data Services data quality management through profiling, cleansing, standardization, parsing, matching, address validation, enrichment, scorecards, and stewardship workflows.

Learners progress through Data Quality Strategy, Profiling, Column Analysis, Domain Analysis, Rules, and Scorecards; Data Cleanse, Parsing, Standardization, Dictionaries, Reference Data, and Custom Transform Rules; Address Validation, Geocoding, Match Transform, Candidate Selection, Scoring, and Survivorship; Quality Monitoring, Exception Review, Stewardship, Reprocessing, Reporting, and Governance, connecting SAP behavior with business decisions, controls, and reviewable evidence.

The learning journey follows a data-quality team improving customer and supplier records before migration and downstream analytics and produces a practical DS30 profiling, cleansing, matching, and quality-score workbook for implementation and operational use.

What You Will Learn

• Map DS30 profiling and quality measurement across SAP roles, process steps, controls, and evidence.
• Configure domains, rules, scorecards, and issue baselines with reliable master data and integration dependencies.
• Execute data cleansing and standardization and interpret resulting documents, messages, and analytical evidence.
• Diagnose parsing, dictionaries, and reference-data controls through targeted checks, traces, logs, and transaction evidence.
• Validate address and duplicate management against business rules, authorization boundaries, and acceptance criteria.
• Compare matching, scoring, and survivorship decisions alternatives and explain operational, technical, and governance trade-offs.
• Document data-quality operations and stewardship using reproducible settings, test results, ownership, and handover notes.
• Improve monitoring, reprocessing, reporting, and governance through monitoring, exception handling, measurable controls, and review cycles.

SkillDynamo Training Approach

Training combines course-specific demonstrations, hands-on SAP exercises, scenario analysis, validation checklists, troubleshooting practice, and a final improvement plan for Data Services – Data Quality Management – DS30.