Why master data management is revolutionizing your supply chain

Master Data Management for Supply Chain Management (SCM)

Clean and consistent master data is the backbone of any successful supply chain management (SCM). Master Data Management (MDM) ensures that your database remains reliable, accurate and up-to-date – creating the basis for efficient processes, well-founded decisions and sustainable growth in your supply chain.

From product and supplier data to customer and warehouse inventories: With a clearly structured MDM, you can optimize your supply chain, minimize errors and maximize your competitiveness.

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Challenges and potential in master data management

The key challenges in SCM

Companies are often confronted with the following problems in the area of master data:

Data inconsistency

Different data sources and formats lead to faulty processes and delays.

Poor data quality

Incomplete, outdated or duplicate data sets make precise analyses difficult.

Lack of transparency

Without uniform data standards, there is no overview of suppliers, products and resources.

High manual effort

Maintaining and updating master data takes time and is prone to errors.

The solution

Systematic master data management

With a clearly defined MDM approach, you create the basis for consistent and high-quality data that offers the following benefits:

Standardized data structures ensure better transparency and data usage along the supply chain.
Automated checking tools reduce the effort required for manual data maintenance.
Standardized processes help to manage master data efficiently and avoid errors.
Clear data standards facilitate collaboration between departments and with external partners.

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Your advantages with Master Data Management

Effective master data management offers numerous advantages for your supply chain management:

Reliable basis

Creation of a transparent database as a basis for decisions along the supply chain.

Security

Well-founded and data-based decisions for optimal supply chain management.

Improve data quality

High data quality enables more precise forecasts and well-founded strategies.

Increase efficiency

Automated master data maintenance reduces workload and sources of error.

Cost reduction and agility

Improved data quality leads to savings and shortens reaction times to market changes.

Our approach Your path to consistent master data in supply chain management

Our end-to-end approach to master data management ensures that your master data in the supply chain is always accurate and up-to-date:

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Phase 1: Analysis and goal setting
- Data analysis: Evaluation of the current data quality in the supply chain and identification of weaknesses.
- Target definition: Definition of standards, requirements and processes for master data quality in SCM.
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Phase 2: Implementation and standardization
- Data cleansing: Eliminate duplicates and inconsistencies.
- Establish processes: Introduction of standardized workflows for data maintenance along the supply chain.
- Automation: Use of tools (including artificial intelligence) for automatic data checking and updating.
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Phase 3: Monitoring and optimization
- Regular audits: Monitoring data quality along the supply chain and identifying potential for improvement.
- Training courses: Raising your employees’ awareness of the importance and maintenance of master data in supply chain management.
- Continuous optimization: Adaptation of MDM processes to new requirements and technologies in SCM.

Optimize your master data with valantic

With valantic as your partner for Master Data Management, you benefit from a reliable database that strengthens your supply chain. Start your MDM initiative now and lay the foundation for an efficient and agile supply chain!