What is the Difference Between Master Data and Transaction Data?
🆚 Go to Comparative Table 🆚Master data and transaction data are two fundamental types of data that organizations manage. They serve distinct purposes and play vital roles in various business processes. The main differences between them are:
- Stability: Master data is characterized by its stability, meaning that it changes infrequently. It serves as the reference data for various operations and processes within the organization. Transactional data, on the other hand, is dynamic and changes frequently, reflecting the real-time record of business activities and events.
- Cross-functionality: Master data is often shared across multiple business processes and transactions. Examples include customer master data, material master data, vendor master data, and employee master data. Transactional data is specific to certain departments and has a limited relevance period.
- Integration: Transactional data often relies on master data for context and accuracy. For instance, when recording a sales transaction, it references master data elements like customer information and product details to ensure the accuracy of the transaction.
- Longevity: Transaction data has a defined life cycle, starting with its creation, followed by processing, and often ending with its archiving or deletion. Master data, by contrast, is typically kept long-term due to its central role in the organization.
In summary, master data provides the core, foundational information that remains relatively stable and serves as a reference point for transaction data. Transactional data is dynamic and captures the actual business activities and events conducted within an organization, relying on master data for context and accuracy.
Comparative Table: Master Data vs Transaction Data
Here is a table highlighting the differences between master data and transaction data:
Feature | Master Data | Transaction Data |
---|---|---|
Purpose | Capturing the system and holding basic information of the system. | Recording events or activities performed by entities within the system, such as orders, attendance, and sales. |
Frequency of Change | Seldom changes. | Frequently changes. |
Records | Few compared to transactional data records. | More records compared to master data records. |
Content | Stable, long-term data. | Dynamic, short-term data. |
Examples | Customer information, product data, company data (e.g., employee counts, departments, locations, and business segments). | Sales orders, purchases, and attendance records. |
In summary, master data provides a stable foundation for a company's data structure, while transactional data records the daily activities of the company. Master data typically remains constant, while transactional data is continuously updated to reflect changes in the business.
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