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Oracle Fusion Cloud offers comprehensive solutions for enterprise resource planning (ERP), human capital management (HCM), supply chain management (SCM), and financial operations. However, data extraction from Oracle Fusion Cloud Applications like Oracle Fusion Cloud ERP data extraction, Oracle HCM data extraction, SCM, EPM, EDM ..etc, for reporting, analysis, and external integration can be challenging. This is especially true when dealing with large datasets or recurring data needs.
Orbit Analytics stands out as a powerful platform that simplifies Oracle Fusion Cloud data extraction. By supporting full and incremental data loads, providing automated scheduling capabilities, and offering built-in data models and dashboards, Orbit Analytics makes data extraction easy for businesses of all sizes.
Full and Incremental Data Loads: Orbit Analytics Approach
Efficient data extraction often involves choosing between full and incremental loads. Here’s how Orbit Analytics handles both:
1. Full Data Loads
A full data load simultaneously extracts an entire dataset from Oracle Fusion Cloud. This method is proper when you need a complete data snapshot, such as during initial data extraction, auditing, or generating large reports.
How Orbit Supports Full Data Loads: Orbit Analytics allows users to extract large datasets across various Oracle Fusion modules like HCM, ERP, and Financials. With its pre-built connectors to Oracle Cloud ERP, HCM, SCM, EPM and EDM, users can extract data with a few clicks, eliminating the need for SQL queries or manual extraction processes.
Use Cases: Full data loads Oracle Fusion Cloud are ideal for Initial Loads, financial audits, or when you need a complete historical view of your business data.
2. Incremental Data Loads
Businesses often don’t need to re-extract the entire dataset every time. Instead, they only need the data that has changed or been added since the last extraction. This is where incremental loads come into play.
How Orbit Handles Incremental Loads: Orbit allows users to set up incremental data extraction, ensuring that only new or modified data is extracted from Oracle Fusion Cloud. This approach reduces the load on the system, improves performance, and speeds up the Oracle fusion cloud data extraction process.
Use Cases: Incremental loads are ideal for daily or weekly reports and in some cases hourly, where extracting the full dataset every time would be inefficient. For example, you might use incremental loads for regular updates on employee status in HCM or newly approved invoices in financials.
By offering both full and incremental data loads oracle fusion, Orbit Analytics gives businesses the flexibility to choose the most efficient method for their specific needs.
How to Extract Data from Oracle Fusion
One of the key challenges in data extraction is ensuring that the process is timely, especially when reports or analyses depend on up-to-date data. Orbit Analytics’ scheduling capabilities with Job Flow remove this worry by allowing users to automate data extraction oracle fusion.
1. Automated Scheduling
Orbit Analytics provides robust scheduling functionality, allowing users to automate data extraction from Oracle Fusion Cloud at regular intervals, such as daily, weekly, or monthly. You can also schedule specific reports/extracts at predefined times.
How It Helps: Scheduling reduces manual effort and ensures that business teams can access the most current data without manually initiating extraction. You can schedule data extraction to occur during off-peak hours to minimize the impact on system performance.
Use Cases: Scheduled extractions are helpful in recurring reports, such as payroll processing or daily sales updates. This way, stakeholders automatically receive up-to-date information without having to request it.
2. Batch Processing for Large Data Sets
For large data extractions, Orbit Analytics supports batch processing, which ensures that even massive datasets are extracted efficiently without overwhelming Oracle Fusion Cloud’s performance.
How It Helps: Instead of pulling all data in one go, Orbit breaks the extraction into manageable chunks, reducing system strain and making the process smoother.
Use Cases: Companies handling extensive financial records or employee data can schedule batch extractions to minimize performance bottlenecks.
Built-In Data Models and Dashboards for Oracle Fusion Cloud Applications
Data usage for gaining insights is just as important as extracting the data. Orbit Analytics goes beyond simple data extraction by offering built-in data models and customizable dashboards for Oracle Fusion Cloud.
1. Pre-Built Data Models
Orbit Analytics comes equipped with pre-built data models oracle fusion that align with Oracle Fusion Cloud’s data structure. This means you don’t have to map the relationships between tables or understand the complex data schema within Oracle Fusion Cloud. These models make it easy to pull relevant data and analyse it immediately.
How It Helps: Pre-built data models reduce the complexity of data extraction and analysis. Instead of spending time configuring data sources or building data relationships, users can immediately begin extracting and analyzing data using pre-configured models. You can learn more about pre-built data models from our Oracle Fusion Cloud Analytics page.
Use Cases: For example, if you’re extracting data from the AP module, Orbit’s data model would automatically organize Invoice, Payment and Supplier data so that you can focus on analysis rather than setup and creation of data models from scratch.
2. Custom Dashboards
Once data is extracted, Orbit Analytics provides a wide range of tools for building dashboards that give a clear view of the extracted data. These dashboards can be customized to suit different business needs, allowing users to visualize data through charts, graphs, and tables.
How It Helps: Dashboards provide interactive views of key business metrics. Users can drill down into specific data points to get deeper insights, making it easy to track performance and make data-driven decisions.
Use Cases: AP teams can create dashboards that track invoice and payment trends through interactive custom dashboards Oracle Fusion Data, all built on pre-built data models from Oracle Fusion Cloud data.
Other Standard Data Extraction Options for Oracle Fusion Cloud
While Orbit Analytics offers a comprehensive and user-friendly solution, there are other methods for extracting data from Oracle Fusion Cloud, each with its pros and cons.
1. Oracle BI Publisher (OTBI)
Oracle BI Publisher is one of the powerful built-in Oracle Fusion data reporting tools that allows users to create and run complex reports. While it’s useful for custom reporting, it requires more technical expertise to set up and manage compared to Orbit.
Strengths: Customizable, powerful, and integrates well with Oracle Fusion’s data structure.
Limitations: BI Publisher requires technical expertise and is less intuitive for non-technical users.
2. Oracle Fusion Cloud REST APIs
For more technically inclined users, Oracle Fusion Cloud provides REST APIs to extract data. REST APIs are flexible and ideal for real-time data access and system integrations.
Strengths: APIs provide granular, real-time access to specific data points.
Limitations:Requires development expertise to implement and manage.
3. HCM Extracts (for Oracle HCM Cloud)
For Oracle HCM users, HCM Extracts offer a specialized solution for large-scale extraction of employee-related data.
Strengths: Optimized for bulk extraction of HCM data.
Limitations: Limited to HCM data and requires technical setup.
Conclusion
Extracting data from Oracle Fusion Cloud is crucial for making data-driven decisions, but it doesn’t have to be complicated. Orbit Analytics simplifies Oracle data extraction along the process by supporting full and incremental data loads, offering automated scheduling, and providing built-in data models and customizable dashboards. These features ensure that users can not only extract data but also gain valuable insights from it quickly and efficiently.
While other methods like BI Publisher, REST APIs, and HCM Extracts have their place, Orbit Analytics offers a user-friendly, scalable, and comprehensive solution that can meet the data extraction needs of businesses. Please refer https://www.orbitanalytics.com/orbit-data-pipeline/ for more information.
For businesses looking to streamline data extraction and reporting from Oracle Fusion Cloud, Orbit Analytics is a top-tier choice that balances ease of use with powerful data management features.
Ready to streamline your data extraction process from Oracle Fusion Cloud? Would you like to have a free POC? Please contact sales@orbitanalytics.com.
