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Course Outline
Introduction
- Overview of SAS Business Intelligence suite
- Key features and components
- Understanding the BI life cycle
Navigating the SAS BI Interface
- Accessing and logging into SAS BI
- Exploring the BI dashboard
- Overview of key tools: SAS Visual Analytics, SAS Enterprise Guide, etc.
Creating Basic Reports with SAS Visual Analytics
- Building a simple report
- Formatting and styling options
- Implementing basic calculations
- Exporting and sharing reports
Advanced Reporting Techniques
- Working with advanced visualizations
- Incorporating statistical analysis
- Implementing conditional formatting
- Mastering drill-down and drill-up techniques
Data Exploration and Analysis with SAS Enterprise Guide
- Introduction to SAS Enterprise Guide
- Conducting ad-hoc analysis
- Integrating Enterprise Guide with other SAS BI tools
- Advanced analysis features
Dashboard Design with SAS Visual Analytics
- Overview of SAS Visual Analytics for dashboards
- Creating and customizing dashboards
- Implementing interactivity in dashboards
- Best practices for dashboard design
Data Visualization Best Practices
- Principles of effective data visualization
- Creating compelling visualizations with SAS BI tools
- Ensuring clarity and impact in data communication
- Visual storytelling with data
Security and Access Control
- User and group management
- Implementing security policies
- Ensuring data integrity and confidentiality
- Troubleshooting security issues
Performance Optimization
- Optimizing query performance
- Indexing strategies
- Monitoring and tuning the BI environment
- Addressing common performance issues
Troubleshooting and Best Practices
- Identifying and resolving common issues
- Best practices for report and dashboard design
- Tips for efficient data modeling
- Ensuring data quality in BI projects
Summary and Next Steps
Requirements
- Basic understanding of business processes
- Familiarity with data analysis concepts
- No prior SAS Business Intelligence experience required
Audience
- Business analysts
- Data analysts
- Business intelligence professionals
28 Hours
