How difficult it is to do digital transformation? What are the main challenges with manual tasks? How can you avoid modifying the underlying systems?. These are the key questions customers are asking.
In order to make things easier, SAP has offerings in the areas of Machine Learning & Robotic Process Automation (RPA).
Best way to automation is by looking at repetitive, manual steps that are done by employees on a day to day basis. Automated programs will replace employees by doing what they do on a computer, In turn allowing employees to do more value added tasks. One of the examples of RPA task is extracting data from invoice, entering a purchase order, downloading reports from various systems and inputting data into SAP backend systems.
Below is a pircture of RPA Framework
Several use cases around business and process automation center around data collection, processing, consolidation and running analytics reports. Consider a typical sales order process, where most of the order requests come from email, PDF, EDI or fax. This data is often and need to be harmonized before it can be submitted to a backend system. Employees spend a huge amount of time on data entry and error handling and this is just a beginning of an end-to-end business process. Many more tasks will follow.
Below are the generic use cases of RPA
Below is the example of how sales order process can be automated with RPA.
With RPA within SAP, you can now simplify implementation with SAP Best Practice of pre-defined automation scenarios. For example, one does not need to program how to post a purchase order or an invoice to SAP. By leveraging the SAP ML services and automation out of the box from S/4HANA, customers or partners can build complex automation workflows quickly.
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- Views are personal views does not reflects SAP’s official views
Questions or feedback?
Rakesh Doshi, Lead EA – SAP Office of Innovation – NA