Digital Transformation? Yes – but with accurate master data!

Digitale Transformation? Aber nur mit sauberen Stammdaten durch Data Cleansing. Erfahren Sie mehr dazu im gemeinsamen Webcast von DSC Software AG und D&TS GmbH.
Data cleansing as a prerequisite for transformation projects

Digital Transformation needs to tackle a multitude of challenges – and master data management is among the important ones. Reason enough for D&TS GmbH and DSC Software AG to present a joint webcast about “Data Cleansing” on November 9, 2023. Paulo Ferreira, Managing Director at D&TS, and Benjamin Zorn, Senior Consultant Customer & Partner at DSC, had the pleasure to welcome about 100 participants.

Clean and process-compliant data step by step

How companies can make their master data shine bright with the help of D&TS and how to lay down a solid foundation for system change or transformation: This was made very clear by Paulo Ferreira on the example of a car wash.


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 1. “Precleaning”: data analysis and data consolidation
The data supplied from the customer’s various databases are bundled and checked for duplicates, creating a Single Source of Truth.

2. “Prewash”: data harmonization
This step is for analyzing the designations, assigning uniform standard names to each material, and harmonizing both units and dimensions. Optionally, the material descriptions can be optimized and the standard names can be translated to several languages.

3. “Foam wash”: data classification
The materials are classified according to the customer’s own classification or according to standard classifications such as ECLASS, ETIM, or UNSPSC – optionally. Standardization according to ECLASS and AAS is the basis for the convenient exchange of consistent, accurate, and comprehensible data among systems and business partners.

4. “Wax”: data enrichment
Material data is updated by adding missing technical data and business data. For this purpose, the materials are categorized in groups and the most important characteristics are identified. This allows an allocation to the D&TS databases.

5. “Verification”: data validation
The data is checked for completeness and conformity by applying rules and quality criteria. Then, a second check takes place for identifying duplicates to achieve the highest level of data integrity.

6. “Polishing”: data provision
The cleansed data is transferred to the target system, e.g. ERP, PIM, PDM, etc. This service is possible in various formats, such as Excel, BMEcat, JSON, and ClassCOCKPIT files – ClassCOCKPIT SAP.

7. “Sealing”: establishing data quality
This final step includes an IT-supported master data management and connection to a product database – ClassCOCKPIT Data Cloud. This allows optimizing the workflows and overall business processes to ensure sustainable data quality over time.


Undertaking such a data cleansing procedure offers numerous benefits to companies on their journey towards Digital Transformation. The speakers provided concrete customer examples and outlined the following benefits of data cleansing:

  • The possibility of finding materials instead of searching, which avoids duplicates and the unnecessary design of parts that already exist in the company
  • Uniform designations, which means terminology, and elimination of duplicates
  • Introduction of ECLASS as the new standard leading to a significant increase of data quality
  • Usage of ECLASS as the standard for secure data exchange
  • Digital spare parts catalogs at the touch of a button thanks to higher data quality; increase in turnover
  • Higher asset availability, global interconnection of plants, cost reduction

The participants’ feedback on the webcast was entirely positive, encouraging DSC and D&TS in their decision to organize another joint webcast in 2024.

DSC webcast on process optimization / automation in SAP planned for 2024

Accurate and reliable master data is essential for efficiently handling numerous business processes. This is not only relevant for any logistics processes but also for product development.

In the follow-on webcast in 2024, you will learn how to use SAP Engineering Control Center | SAP ECTR to optimize your processes and keep the high quality of your master data in the long term.

Interested? Contact us!

Reach out to Benjamin Zorn and Paulo Ferreira for any questions. They are happy to help.

About D&TS GmbH

For almost two decades, D&TS GmbH has been operating on a global level in the field of Master Data Management | MDM. The IT service provider supports companies from different industries, e.g. mechanical and plant engineering, component manufacturing, and other manufacturing companies, in the efficient and reliable management of their material and product data. “Our vision is to make companies fit for Industry 4.0 and Digital Transformation,” summarizes Paulo Ferreira, Managing Director at D&TS. And he underlines: “Even if master data projects, in the past, weren’t considered as being really appealing, they are playing a key role for creating data-driven companies, for achieving system transformations and automation.” It’s quite impossible to implement such processes with incorrect, obsolete master data and multiple duplicates.”

Further information:

About DSC

DSC Software AG is one of the leading consulting and integration experts in the field of SAP PLM. We accompany industrial enterprises in the concrete implementation of digitalization strategies focusing on the product lifecycle in SAP, with our competence in integration, processes and implementation.

Together with SAP, we develop the strategic integration platform for SAP PLM: SAP Engineering Control Center | SAP ECTR – simply “integrative PLM”.

As an SAP Platinum partner, we promote the Digital Transformation with currently about 750 customers. With lots of know-how, and solutions always tailored to our customer’s needs.

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