Master Data Management
Expert-defined terms from the Professional Certificate in SAP Supply Chain Management course at London School of Business and Administration. Free to read, free to share, paired with a globally recognised certification pathway.
Master Data Management #
Master Data Management (MDM) is a comprehensive method of enabling an enterprise… #
MDM helps organizations streamline data sharing among personnel and departments. It ensures that everyone in the organization has access to accurate, consistent, and up-to-date information.
Key Concepts #
- **Master Data:** Master data refers to the essential business information that… #
This includes data such as customer details, product information, and vendor records.
- **Data Governance:** Data governance involves setting up processes and rules t… #
- **Data Governance:** Data governance involves setting up processes and rules to ensure the quality, integrity, and security of data within an organization.
- **Data Quality:** Data quality refers to the accuracy, completeness, and consi… #
Maintaining high data quality is crucial for effective decision-making.
- **Data Integration:** Data integration involves combining data from different… #
This is important for MDM as it ensures that all data is consistent and accurate.
- **Data Stewardship:** Data stewardship involves assigning responsibility for m… #
Data stewards ensure that data is accurate and up-to-date.
- **Data Management:** Data management involves the process of collecting, stori… #
- **Data Management:** Data management involves the process of collecting, storing, and analyzing data to ensure its accuracy and security.
- **Data Warehousing:** Data warehousing involves storing and managing large vol… #
- **Data Warehousing:** Data warehousing involves storing and managing large volumes of data from various sources in a centralized repository.
- **Data Cleansing:** Data cleansing involves identifying and correcting errors… #
- **Data Cleansing:** Data cleansing involves identifying and correcting errors in data to improve its quality.
- **Data Migration:** Data migration involves transferring data from one system… #
This is often necessary when implementing MDM solutions.
Examples #
- An organization implements MDM to ensure that all departments have access to a… #
This helps improve customer service and marketing efforts.
- A retail company uses MDM to create a single view of product information acros… #
This ensures that product details are consistent and up-to-date.
Practical Applications #
- MDM can be used in supply chain management to ensure that product information… #
- MDM can be used in supply chain management to ensure that product information is consistent across all systems, from inventory management to order processing.
- MDM can be applied in customer relationship management to provide a comprehens… #
- MDM can be applied in customer relationship management to provide a comprehensive view of customer data, including contact information, purchase history, and preferences.
Challenges #
- One of the main challenges of MDM is ensuring data quality and consistency acr… #
- One of the main challenges of MDM is ensuring data quality and consistency across multiple systems and departments.
- Another challenge is getting buy-in from stakeholders and ensuring that data g… #
- Another challenge is getting buy-in from stakeholders and ensuring that data governance policies are followed throughout the organization.