ORACLE FAW Training
Oracle Financial Analytics Warehouse (FAW) training involves learning how to use Oracle’s cloud-based business intelligence tools for financial analytics. Oracle FAW helps organizations to consolidate, analyze, and visualize financial data from multiple sources. It is particularly useful for making data-driven financial decisions and managing financial performance.
Why should you choose Nisa For Oracle FAW Training?
Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.
Job Assistance
If you face any problem while working on Oracle FAW Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.
The Process we follow for our Online Job Support Service:
- We receive your inquiry for Online Job
- We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
- If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
- We will fix the timing for Online Job Support as mutually agreed by you and our consultant.
Course Information
Oracle FAW Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.
COURSE CONTENT :
Module 1: Introduction to Oracle FAW
- What is Oracle FAW?
- Overview of Oracle Financial Analytics Warehouse and its capabilities.
- Understanding the role of FAW in financial decision-making and reporting.
- Key benefits of using FAW in organizations for finance analytics.
- FAW Components and Architecture
- Overview of FAW architecture and its integration with Oracle Cloud Applications (e.g., Oracle Fusion ERP).
- Components: Data sources, staging area, data warehouse, analytics, and reporting layer.
- Understanding Oracle Analytics Cloud (OAC)
- Role of Oracle Analytics Cloud in the FAW environment.
- How OAC integrates with FAW for visualization and reporting.
Module 2: Setting Up Oracle FAW
- FAW Setup and Configuration
- Preparing the environment for Oracle FAW deployment.
- Setting up FAW in Oracle Cloud: prerequisites and configurations.
- Connecting to data sources: Oracle ERP, third-party systems, and external data sources.
- Security and Access Control
- User and role management in FAW.
- Configuring access controls to ensure data security.
- Setting up data-level security and organizational units.
Module 3: Data Modeling and Data Sources
- Oracle FAW Data Model Overview
- Pre-built data models for financial analysis (General Ledger, Accounts Payable, Accounts Receivable, and more).
- How the data models are structured and related.
- Data Integration and ETL
- Understanding Extract, Transform, Load (ETL) processes within FAW.
- Data import and mapping from Oracle ERP or other external sources.
- Monitoring and troubleshooting ETL processes.
- Working with Financial Data
- Overview of financial dimensions, measures, and key indicators.
- Managing financial hierarchies and mappings.
Module 4: Financial Analytics and Reporting
- Creating Reports in FAW
- Introduction to creating standard and custom reports.
- Using pre-built templates and customizing them.
- Creating detailed financial reports such as Balance Sheets, Profit and Loss, and Cash Flow.
- Building Dashboards
- Creating interactive dashboards with financial metrics and KPIs.
- Visualizing financial data with graphs, charts, and tables.
- Customizing dashboards for different audiences (e.g., executives, finance teams).
- KPIs and Metrics
- Defining Key Performance Indicators (KPIs) for financial analysis.
- Using built-in financial KPIs or creating custom KPIs.
- Analyzing financial performance with metrics.
Module 5: Advanced Analytics and Financial Modeling
- Advanced Financial Analytics
- Using predictive analytics for financial forecasting and budgeting.
- Financial trend analysis and scenario modeling.
- Machine learning and AI applications for anomaly detection and predictive insights.
- Working with Financial Models
- Developing advanced financial models using data in FAW.
- Forecasting revenue, expenses, and profit margins.
- Building scenario-based models and what-if analysis.
Module 6: Performance Optimization and Troubleshooting
- Optimizing Queries and Reports
- Techniques for improving the performance of large reports and dashboards.
- Indexing, partitioning, and query optimization.
- Monitoring FAW Performance
- Using FAW tools to monitor data pipelines and report performance.
- Performance tuning best practices.
- Troubleshooting Common Issues
- Identifying and resolving common issues in FAW.
- Using logs and diagnostics to troubleshoot.
Module 7: Best Practices and Real-World Use Cases
- Best Practices for Financial Reporting
- Standard practices for managing financial data and ensuring data quality.
- Governance and compliance considerations.
- Industry Use Cases
- Use case scenarios in different industries: Manufacturing, Retail, Financial Services.
- How different types of organizations can leverage FAW for financial analysis.
- Building a Financial Analytics Strategy
- Key steps in creating an analytics strategy for your organization.
- Aligning FAW solutions with business goals.