Course Outline
Introduction
- High-level view of the SAS Business Intelligence suite.
- Core features and constituent components.
- Comprehending the BI lifecycle.
Interface Navigation in SAS BI
- Methods for accessing and authenticating with SAS BI.
- Exploring the features of the BI dashboard.
- Overview of essential tools, including SAS Visual Analytics and SAS Enterprise Guide.
Developing Basic Reports via SAS Visual Analytics
- Constructing straightforward reports.
- Applying formatting and stylistic options.
- Performing fundamental calculations.
- Procedures for exporting and sharing reports.
Advanced Reporting Methodologies
- Utilizing sophisticated visualizations.
- Integrating statistical analysis techniques.
- Applying conditional formatting rules.
- Mastering drill-down and drill-up functionalities.
Data Exploration using SAS Enterprise Guide
- Foundations of SAS Enterprise Guide.
- Executing ad-hoc analysis workflows.
- Integrating Enterprise Guide with other SAS BI applications.
- Exploring advanced analysis capabilities.
Dashboard Design in SAS Visual Analytics
- Introduction to SAS Visual Analytics for dashboard creation.
- Building and customizing dashboard elements.
- Adding interactivity to dashboards.
- Adhering to best practices for dashboard architecture.
Data Visualization Best Practices
- Key principles of effective visualization.
- Crafting engaging visuals using SAS BI tools.
- Ensuring clarity and impact in data presentation.
- Techniques for visual storytelling with data.
Security and Access Management
- Managing users and groups.
- Establishing security policies.
- Maintaining data integrity and confidentiality.
- Diagnosing and resolving security-related issues.
Performance Tuning
- Enhancing query performance.
- Implementing indexing strategies.
- Monitoring and optimizing the BI environment.
- Mitigating common performance bottlenecks.
Troubleshooting and Operational Excellence
- Identifying and resolving frequent technical issues.
- Best practices for designing reports and dashboards.
- Tips for efficient data modeling.
- Ensuring high data quality in BI initiatives.
Conclusion and Future Directions
Requirements
- A foundational understanding of business processes.
- Basic familiarity with data analysis concepts.
- No prior experience with SAS Business Intelligence is necessary.
Target Audience
- Business Analysts
- Data Analysts
- Business Intelligence Specialists
Testimonials (3)
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
lots of pratical exercises
