PA large number of orders is a reason to be happy, but it also involves a greater risk of errors. Inconsistent units of measurement, outdated prices, incorrect material indexes, and duplicate data are just some of them. They can result in delays in order fulfillment, higher logistics costs, complaints, and a decline in customer satisfaction. In an effort to streamline their processes, modern organizations are increasingly opting to implement SAP S/4HANA, an automated platform used, among other things, to process orders.
SAP S/4HANA as a central data source
Handling large numbers of orders often involves data being scattered across different tools and systems, such as ERP, CRM, Excel spreadsheets, and warehouse systems. However, this problem can be easily eliminated by SAP implementation. The platform allows you to store all data in one place, including information about materials, contractors, commercial terms, and more.
As a result, the risk of data duplication is eliminated, and the company’s files remain up-to-date and consistent. In addition, links between data are controlled automatically, and the organization gains greater transparency in its operations.
Data quality control with SAP
When using the SAP system, you can count on data quality control already at the data entry stage. Thanks to the possibility of imposing specific validation rules, any errors are detected before the sales process takes place. Higher data quality is facilitated by solutions such as blocks on outdated price lists and automatic verification of tax identification numbers and address data of contractors.
The introduction of incorrect data is also prevented by the system’s checks on the consistency of units of measurement and material indexes, as well as mandatory fields when registering new customers. The lack of the need to manually transcribe information, considered one of the main sources of errors, is also significant. All this is possible thanks to automated solutions, including order generation, price selection, assignment of sales conditions, and discount calculation.
SAP S/4HANA – automation and integration
Companies that use the SAP system can reduce the number of complaints related to errors in orders. This is achieved through the automation of order processing, but that’s not all. SAP S/4HANA also allows integration with e-commerce, EDI, and product configurators, preventing errors at the interface between separate systems.
The platform provides easy and convenient access to always up-to-date data and automatic synchronization of price lists. This helps reduce errors and shorten order fulfillment times. Order status is available to customers in real time. In addition, SAP offers Master Data Governance (SAP MDG) solutions that enable formal management of the master data lifecycle, introduction of an approval workflow, and auditability of changes. This makes data organization much simpler.
SAP S/4HANA and data quality
The implementation of an advanced system brings many benefits, including in the area of data quality. These are:
- shorter order fulfillment times,
- fewer errors in orders,
- fewer complaints,
- higher customer satisfaction,
- more stable cooperation with contractors,
- time savings for customer service employees.
Efficient data quality management helps gain a competitive advantage in the market, indirectly affecting the company’s profitability. SAP undoubtedly makes this task easier for organizations.
It is worth entrusting the implementation of the system to a reliable and experienced partner such as Hicron. It is an expert in SAP solutions and a certified partner of the company. SA offers comprehensive support, including not only the implementation of the system, but also assistance in its operation and maintenance. It accompanies the development of the system in order to adapt it to the changing needs of the organization.
The implementation of the solution facilitates data management and helps meet the challenges posed by growing customer demands, price pressure, and the increasing scale of operations with a growing number of orders.
