Every Oracle Cloud ERP implementation reaches a point where data must flow automatically—accurately, timely, and without human intervention. This is especially true in Financials, where daily operations depend on clean, validated, and consistently imported transactional data. One of the most common jobs in the Payables module is the Import Payables Invoices job, internally known as APXIIMPT. This article walks through […]
When working with Oracle Cloud ERP, data extraction is critical for various business operations. From financial reporting to integrations with third-party tools and data warehouses. Oracle Cloud ERP provides several ways to extract data: Among these options, BI Publisher stands out due to its flexibility and precision. It allows users to execute custom SQL queries directly against the Oracle database.
Oracle Cloud relies heavily on Enterprise Scheduler Service (ESS) jobs to execute critical background tasks such as importing invoices, synchronizing user roles, processing payments, and maintaining application health. While ESS jobs can be scheduled directly within Oracle Cloud ERP, this built-in scheduler is frequently unreliable, especially in large or busy environments. Common issues include jobs getting stuck without proper notifications,
Managing Oracle BI Publisher reports and data models across multiple Oracle Cloud instances, such as development, testing, and production, is typically a cumbersome task. Teams often create, test, and optimize BI Publisher reports and their data models in a development environment before migrating them to production. The traditional process involves manually exporting BI Publisher reports from one instance and then
