Automating Information Capture to Improve Data Quality for SAP Solutions
Meet the Authors
Key Takeaways
⇨ SAP solutions are designed for efficiency, but manual data entry hinders organizations from fully benefiting from these systems, resulting in lost revenue.
⇨ OpenText Intelligent Capture for SAP Solutions enhances efficiency by automating the digitization of SAP-related documents using Machine Learning and a comprehensive invoice knowledge base to improve recognition quality.
⇨ The system offers seamless integration with SAP, enabling full automation within the SAP interface and eliminating the need to switch between windows.
Business-to-business communication often relies on unstructured or semi-structured documents, requiring manual data entry that hampers the efficiency of SAP solutions and results in lost revenue. OpenText Intelligent Capture for SAP Solutions addresses this by automating the digitization of SAP-related documents using Machine Learning and a robust invoice knowledge base. It learns complex table structures to improve automation rates and data accuracy, centralizes configurations within SAP, and eliminates the need for manual data entry. The system classifies document contexts, such as business partners and regions, and extracts relevant information, automating the matching process with supporting data. Seamless integration with SAP enables full automation within the SAP interface. Key benefits include transforming data entry through advanced character recognition and semantic analysis, leveraging a vast knowledge base for superior recognition, simplifying configuration, and using proprietary OCR technology for rapid innovation and optimization.