Master data is data about key business entities - the “things” and “people” your business runs on. If it is not managed well, the same entity can look different in every system. Common examples include customer names, customer addresses, employees, products, parts, and vendors.

Master Data Management (MDM) is the process, rules, and tools used to create and maintain a single, consistent view of this master data across the organization. In other words, MDM makes sure “Customer A” is the same customer in CRM, ERP, support, billing, and analytics.

Along with master data, organizations also manage other types of data, such as:

• Reference data: data that rarely changes (if ever), like calendar dates, country codes, or US states and territories.
• Transactional data: data created by day-to-day activity, such as orders, invoices, shipments, tickets, and payments.

When master data is not managed, it becomes inconsistent across systems. For example, a customer may have different names, addresses, or IDs in CRM vs ERP. Similarly, products, parts, or vendors may be stored with different naming conventions or formats in each system.

This creates business impact quickly:

• Reports do not match across teams because everyone is measuring from a different version of the truth.
• Customers are not segmented correctly. Many customers end up in a lower segment only because their records are split or inconsistent.
• Decisions become less accurate because segmentation, pricing, service levels, and retention efforts are based on incomplete or incorrect data.
• Workload increases because teams re-enter the same information again and again in each system.

In addition, customer intimacy is lost. The customer may have a better understanding of the relationship than the company does because the company’s data is fragmented. This directly affects customer retention, which contributes to higher churn and lower revenue.

MDM reduces these issues by keeping master data consistent, trusted, and usable across all systems and teams.