What is Master Data Management?
Turkish: Ana Veri Yönetimi
Master Data Management governs critical customer, product, and supplier records through a single source, quality rules, and approvals.
What is Master Data Management?
Master Data Management (MDM) is the governance and technology approach that defines who creates master data, how it is validated, which systems receive it, and how it stays accurate across its lifecycle.
How Does It Work?
MDM projects start by defining data fields and ownership. Teams then set deduplication rules, required attributes, reference lists, approval workflows, and integration directions. In some organizations, the ERP is the main source of records. In others, a dedicated MDM tool becomes the central source and distributes records to ERP, CRM, e-commerce, or analytics systems.
Practical Examples
If a product record is missing barcode, VAT rate, unit of measure, category, or supplier data, inventory, sales, and reporting processes are affected. If a customer’s tax number is written differently across systems, invoicing, risk, and collection reports become inconsistent. MDM reduces these issues through data standards and ownership.
ERP may be the operational source of records, while ETL and data warehouse workflows depend on clean master data for reliable analysis.
Related Terms
A data warehouse stores cleaned, structured data from multiple sources for analytics queries, KPI tracking, and business reporting.
ERP (Enterprise Resource Planning)ERP manages finance, inventory, sales, production, HR, and supply chain processes through a shared enterprise data model.
ETL (Extract, Transform, Load)ETL extracts data from multiple sources, transforms it, and loads it into a data warehouse or reporting system on a schedule.