Application Intelligence vs Generic Semantic Tools

Overcoming ERP Semantic Layer Complexity with Application Intelligence

Data stored in large, complex applications like Enterprise Resource Planning (ERP) systems could be more user-friendly and suitable for general business use. For data to be valuable, it must be transformed from its original form into a "report-ready" state. A semantic layer that bridges the gap between the two positions can accomplish this.

This white paper explores the approaches one can take to establish this semantic layer to help end users use the data for reporting and analytical purposes. The document uses Oracle JD Edwards as its primary example source, but the principles can be applied to various large-scale systems.