Course Outline
Introduction
- Overview of the 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 experience with SAS Business Intelligence is required.
Audience
- Business analysts.
- Data analysts.
- Business intelligence professionals.
Testimonials (4)
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
he was well prepared - and he is very sympathetic
Oliver - Post CH AG
Course - Splunk Fundamentals
Used good examples, good pace of the training and covered most things
David - McGraw Hill
Course - Data Preparation with Alteryx
Clear explanations with good examples so i could relate to my own line of work.
