In SAP, the customer number (KUNNR
) is a unique identifier for customer master data, and it is typically stored in several tables.
With customer data spread across the many tables of KNA1, KNB1, KNVV, KNVK, BSIK, BSAK, VBAK, and VBAP15, this complex data structure can make it challenging to access and maintain customer information.
Simplifying the table relationships and consolidating relevant data into fewer tables would improve efficiency and reduce data redundancy but practically speaking this cannot really be achieved without major customizations that would negatively impact upgrades. The following key tables are where you will find the customer data:
- KNA1: This is the primary table for customer master data. It contains general customer information, and the
KUNNR
field is present as the customer number. - KNB1: This table contains customer-specific data at the company code level. It’s linked to the
KNA1
table using theKUNNR
field. - KNVV: This table contains customer-specific data at the sales area level. It’s linked to the
KNA1
table using theKUNNR
field. - KNVK: This table contains contact person data for customers. It’s linked to the
KNA1
table using theKUNNR
field. - BSIK and BSAK: These are accounting-related tables that store customer-specific accounting data. The
KUNNR
field is used to associate accounting entries with specific customers. - VBAK and VBAP: These are sales-related tables that store sales order header and item data, respectively. The
KUNNR
field is used to associate sales orders with customers.
While these are some of the primary tables in SAP that contain the KUNNR
field, there may also be custom tables for specific purposes in a given SAP installation. SAP’s data structure can be complex, and customer data is often spread across these multiple tables to support various discrete business processes and levels of detail. The exact tables that contain KUNNR
may vary depending on your SAP configuration and the specific modules you are using. If you need to access or query customer data, it’s important to understand the specific tables and relationships within your SAP system.
Leveraging Business Partner Functionality
SAP’s Business Partner concept provides a more unified approach to managing customer and vendor master data.
By linking customer master data in KNA1 to the BUT000 Business Partner table, customer data in SAP can be centralized and shared across the modules.
Fully adopting the Business Partner model and taking advantage of its features like role definitions (BUT050) and relationships could serve to also streamline CMDM processes.
Enhance Data Quality Controls
Ensuring high-quality, consistent customer data is critical for effective SAP operations and here CMDM can be a help.
Implementing robust data validation rules, standardization, and deduplication processes can help maintain data integrity even if those same rules aren’t directly established in SAP itself.
Automating data quality checks at key points like data entry and during batch updates reduces the likelihood of errors and improves data reliability.
Improve User Experience
Providing an intuitive, user-friendly interface for customer master data maintenance such as that offered through the Pretectum CMDM or using Pretectum APIs with your own portals and mobile apps, can make CMDM processes more efficient and less error-prone.
Enhancing the user experience with features like intelligent search, guided data entry, and contextual help empower users to effectively manage customer data.
Leverage Analytics and Reporting
Leveraging Pretectum’s analytics and reporting capabilities can provide valuable insights into the effectiveness of your customer data and CMDM processes. The system supports the generating of reports on data quality metrics, data changes over time. Usage patterns can help identify areas for improvement and optimize CMDM strategies.
Predictive analytics could also help anticipate and prevent data quality issues.
By addressing these areas together with the Pretectum CMDM , you could enhance your SAP CMDM capabilities and drive greater value from your customer master data.