Why many companies underestimate their master data
Master data grows over time and changes continuously. Problems often remain invisible for a long time – until processes, reporting or decision-making are directly impacted.
When operational processes are increasingly slowed down
- Duplicate customer and material master records
- Incomplete or outdated attributes
- High manual maintenance effort
- Contradictory reports and evaluations
When systems are stable, but the data is not
- Historically grown master data structures
- Missing objective quality metrics
- Isolated clean-up activities without prioritization
- Increasing requirements driven by S/4HANA, automation and data-driven initiatives
When decisions are based on assumptions rather than facts
- Risks remain hidden
- Investments are made without a reliable data basis
- Governance is discussed but not operationalized
- Data quality is known, but not measurable
Data quality is known, but not measurable
Master data is often corrected once problems become visible. Individual clean-up activities reduce effort in the short term, but do not create sustainable impact. Without transparency and prioritization, data quality remains a matter of assumption.
From quick check to sustainable data quality
The Master Data Quality Quickcheck
The Master Data Quality Quickcheck analyzes the quality of business partner and material master data with regard to duplicates, completeness, timeliness and business relevance.
Why AKQUINET?
- Combined SAP, MDG and governance expertise
- Fixed price: €7,900
- Seamlessly extendable towards sustainable “stay clean” processes
What is analyzed in detail
- Algorithm-based duplicate detection
- Weighted similarity analysis
- Assessment of completeness and timeliness
- Classification based on business relevance
What changes after the quick check
The quick check process
Kick-off & scope alignment
Joint definition of objectives, scope and relevant data objects.
Analysis phase
Technical review, quality assessment and relevance classification of master data.
Results preparation
Condensed results with clear prioritization, no unstructured data lists.
Results workshop
Discussion of findings, classification and recommendation of next steps.
Frequently asked questions
How do we know if we have a duplicate issue?
Duplicate issues typically become visible through manual effort, inconsistent reports or unclear responsibilities. The quick check provides objective clarity.
How long does the quick check take?
Once the scope has been clarified and data access has been provided, the analysis usually takes around seven working days.
Do all duplicates need to be resolved immediately?
No. Results are prioritized based on business relevance to support informed decisions.
Can we continue after the quick check?
Yes. The quick check is designed as an entry point and can be extended step by step.
What is the entry price?
The Master Data Quality Quickcheck is available at a fixed price of €9,000. There is an optional extension to:
- Data Cleansing – One Time: This means that data is cleaned, consolidated, merged, and harmonized.
- Data Cleansing – Sustainable (Stay Clean): With integration into governance processes, optimization and assignment of roles, workflows, validations, and automated detection of duplicates.
Your contact person
Christian Wagner
Managing Director
Consultant SAP | Services and Automation