Drive Team Excellence with SAS Business Intelligence Corporate Training

SAS Business Intelligence refers to a suite of applications developed by SAS Institute Inc., designed for data analysis, reporting, and visualization to support business decision-making processes. It enables organizations to extract insights from their data, identify trends, and make informed decisions based on comprehensive data analysis and reporting capabilities. The training introduces professionals to utilizing SAS tools for data management, analysis, and reporting to support informed decision-making within organizations.

Edstellar's SAS Business Intelligence Instructor-led training offers virtual/onsite options, allowing for customization to meet its professionals' specific learning and scheduling needs. This course offers hands-on experience with real-world data sets, ensuring learners gain practical and theoretical skills. The Edstellar approach emphasizes interactive learning, personalized support, and the application of SAS Business Intelligence tools in scenarios that professionals are likely to encounter professionally.

Get Customized Expert-led Training for Your Teams
Customized Training Delivery
Scale Your Training: Small to Large Teams
In-person Onsite, Live Virtual or Hybrid Training Modes
Plan from 2000+ Industry-ready Training Programs
Experience Hands-On Learning from Industry Experts
Delivery Capability Across 100+ Countries & 10+ Languages
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Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

  • Sas Programming
    SAS Programming involves using the SAS software for data analysis, statistical modeling, and reporting. This skill is important for data analysts and biostatisticians to derive insights and make data-driven decisions.
  • Data Manipulation
    Data Manipulation is the process of adjusting, organizing, and analyzing data to extract meaningful insights. This skill is important for data analysts and scientists, as it enables them to transform raw data into actionable information, driving informed decision-making.
  • Statistical Analysis
    Statistical Analysis involves collecting, interpreting, and presenting data to identify trends and patterns. This skill is important for data-driven roles, enabling informed decision-making and strategic planning.
  • Report Generation
    Report Generation is the ability to compile, analyze, and present data in a structured format. This skill is important for roles like analysts and managers, as it aids decision-making.
  • Data Mining
    Data Mining is the process of discovering patterns and insights from large datasets using statistical and computational techniques. This skill is important for data analysts and business intelligence roles, as it enables informed decision-making and strategic planning.
  • Predictive Modeling
    Predictive Modeling is the process of using statistical techniques to forecast future outcomes based on historical data. This skill is important for data analysts, marketers, and financial analysts, as it enables informed decision-making and strategic planning.

What Your Team Will Achieve After This Training

  • Utilize PROC SQL for advanced data querying, manipulation, and retrieval, enhancing data analysis capabilities
  • Leverage SAS programming for data manipulation, transformation, and automation of complex data integration tasks
  • Apply OLAP (Online Analytical Processing) techniques for multi-dimensional data analysis, facilitating deeper data insights
  • Harness the power of SAS Visual Analytics to create dynamic visualizations and interactive reports for data exploration and presentation
  • Implement predictive modeling and machine learning algorithms using SAS to forecast trends and behaviors, driving proactive decision-making
  • Configure and manage SAS Enterprise Guide projects for streamlined data analysis and reporting workflows, improving efficiency and collaboration
  • Engage in sophisticated statistical analysis employing SAS procedures like PROC REG, PROC LOGISTIC, and PROC ANOVA to validate hypotheses and infer relationships

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

  1. Introduction on SAS EG Application
    • Overview of SAS Enterprise Guide
    • Benefits of using SAS EG
  2. Customizing SAS Enterprise Guide options
    • Setting preferences
    • Customizing the environment
  3. Setting up and managing profiles
    • Creating user profiles
    • Managing profile settings
  4. Importing files from sources other than SAS
    • Importing data procedures
    • Supported file formats
  5. Accessing data via SAS libraries
    • Creating and managing libraries
    • Access methods for different data sources
  6. Grouping and summarizing data
    • Techniques for data aggregation
    • Summarizing data with SAS functions
  7. Introduction to querying data
    • Basics of SAS queries
    • Using the query builder
  8. Filtering and sorting data
    • Applying filters to data
    • Sorting data in various orders
  9. Creating new columns with an expression
    • Using expressions for new columns
    • Function and operators for expressions
  10. Joining tables
    • Types of joins
    • Joining tables in SAS EG
  11. Creating a frequency report
    • Frequency report basics
    • Customizing frequency reports
  12. Generating HTML, PDF, and RTF output
    • Output options in SAS EG
    • Customizing output properties
  13. Creating a listing report
    • Designing listing reports
    • Formatting listing reports
  14. Creating a graph
    • Types of graphs in SAS EG
    • Customizing graphs
  15. Creating Stored Process from SAS EG
    • Defining stored processes
    • Deploying and executing stored processes
  16. Working on different statistical procedures
    • Overview of statistical procedures
    • Application of statistical procedures in SAS EG
  1. Exploring SAS Data Integration Studio
    • Introduction to SAS DI Studio
    • Navigating the interface
  2. Working on Change Management
    • Change management concepts
    • Implementing change management in DI Studio
  3. Explaining how to define source, target data structures and designing jobs
    • Defining data structures
    • Job design principles
  4. Introduction to jobs and the job editor
    • Creating jobs in DI Studio
    • Using the job editor
  5. Working with propagation and mappings
    • Understanding propagation
    • Mapping techniques
  6. Working with Access
    • Accessing source data
    • Configuring data access
  7. File Reader
    • Reading external files
    • Configuring file reader properties
  8. File Writer
    • Writing data to external files
    • Configuring file writer options
  9. Library Contents
    • Managing libraries in DI Studio
    • Accessing library content
  10. Table Loader
    • Loading data into tables
    • Configuring table loader properties
  11. XML Writer
    • Writing data to XML format
    • Customizing XML output
  12. Working with Analysis
    • Conducting data analysis in DI Studio
    • Analysis tools and techniques
  13. Defining slowly changing dimensions
    • Understanding SCDs
    • Implementing SCDs in DI Studio
  14. Using the SCD type 2 Loader and Change Data capture transformations
    • Configuring SCD type 2 loader
    • Applying change data capture
  15. Working with the apply lookup standardization transformation
    • Lookup transformation basics
    • Standardizing data with lookups
  16. Iterating a job with Loop transformations
    • Looping concepts in DI Studio
    • Configuring loop transformations
  17. Introduction to change management and establishing a change management environment
    • Setting up a change management environment
    • Best practices for change management
  18. Analyzing metadata using impact analysis
    • Performing impact analysis
    • Understanding metadata dependencies
  19. Deploying jobs for scheduling
    • Scheduling jobs in DI Studio
    • Managing scheduled jobs
  20. Deploying jobs as Stored Process
    • Stored process basics
    • Deploying and managing stored processes
  21. Exporting and importing metadata
    • Metadata export/import procedures
    • Best practices for metadata management
  22. Building the dimensions
    • Dimension building techniques
    • Managing dimensions in DI Studio
  23. Building the fact tables
    • Fact table concepts
    • Designing and populating fact tables
  24. Building the Star Schema
    • Star schema design principles
    • Implementing a star schema in DI Studio
  1. Introduction to Online Analytical Processing
    • OLAP concepts
    • Benefits of OLAP in SAS
  2. Overview of SAS OLAP Cube Studio
    • Navigating OLAP Cube Studio
    • Features of OLAP Cube Studio
  3. Registering metadata
    • Metadata registration process
    • Managing metadata in OLAP Cube Studio
  4. Creating a SAS OLAP cube from a star schema
    • Cube creation steps
    • Utilizing star schemas for cubes
  5. Setting permissions using SAS Management Console
    • Managing access permissions
    • Security considerations for OLAP cubes
  6. Viewing a SAS OLAP cube with SAS Enterprise Guide
    • Accessing OLAP cubes in SAS EG
    • Analyzing cube data
  7. Viewing a SAS OLAP cube with SAS Web OLAP Viewer for JAVA
    • Using the Web OLAP Viewer
    • Interactive analysis with Web OLAP Viewer
  8. Monitoring and Tuning a SAS OLAP Cube
    • Performance monitoring techniques
    • Tuning OLAP cubes for performance
  9. Pivot table using excel
    • Integrating SAS OLAP cubes with Excel
    • Creating pivot tables from OLAP cubes
  10. About MDX Language
    • Basics of MDX
    • Applying MDX in SAS OLAP environments
  1. Introduction to SAS Information Map Studio
    • Information Map Studio overview
    • Benefits of using Information Maps
  2. Create an Information Map
    • Information map creation process
    • Customizing information maps
  3. Using information maps in SAS Web Report Studio
    • Accessing information maps in WRS
    • Report creation with information maps
  4. Using information maps in the SAS Information Delivery Portal
    • Integration with the Information Delivery Portal
    • Enhancing data access with information maps
  5. Using information maps in the SAS Enterprise Guide
    • Accessing information maps in SAS EG
    • Analytical applications of information maps
  6. Using information maps in the SAS Add-In For Microsoft Office
    • Office integration with information maps
    • Enhancing productivity with SAS and Office integration
  1. Introduction to SAS Web Report Studio
    • Web Report Studio overview
    • Key features and capabilities
  2. Calling Information Maps into WRS
    • Utilizing information maps in reports
    • Enhancing report data sources
  3. Creating filters at WRS
    • Filter creation techniques
    • Customizing data views with filters
  4. Creating Layouts for Reports
    • Report layout design principles
    • Customizing report appearances
  5. Creating Prompts
    • Prompt types and configurations
    • Enhancing user interaction with prompts
  6. Customizable roles to authorize capabilities
    • Role-based access control
    • Configuring roles in SMC
  7. Working on Report Creation and Templates
    • Template-based report design
    • Custom report creation techniques
  1. Introduction to SAS IDP
    • Information Delivery Portal overview
    • Key features and user benefits
  2. Adding a Portal page
    • Customizing portal pages
    • Page design and configuration
  3. Adding Contents to Portlet
    • Managing portlet content
    • Customizing content display
  4. Adding portlets to page
    • Portlet selection and placement
    • Enhancing page functionality
  5. Utilize SAS EG to create content and publish packages to the framework
    • Integrating SAS EG content
    • Publishing and managing content packages
  6. Viewing and managing portal content
    • Content management in the IDP
    • Customizing content access
  7. Portal Customization
    • Personalizing the IDP experience
    • Customization options for users
  8. Call Reports from WRS to IDP
    • Integrating WRS reports
    • Accessing and managing reports in IDP
  9. User level Authentication
    • Implementing authentication mechanisms
    • Managing user access and security
  10. Designing Portal
    • Portal design principles
    • Custom design techniques
  11. Creating Dashboards
    • Dashboard creation and customization
    • Enhancing information delivery with dashboards
  12. Calling STP into IDP
    • Integrating Stored Processes
    • Managing and accessing STPs in IDP
  13. Cubes in PORTAL
    • Accessing OLAP cubes
    • Integrating cube data in the portal
  14. Sharing portal content
    • Content sharing mechanisms
    • Collaborative features in IDP
  1. User Creation and Permission
    • Managing users and groups
    • Configuring permissions and security
  2. Creating Libraries
    • Library management in SMC
    • Configuring and accessing data libraries
  3. Creating Connection with Databases and SAS Applications
    • Database connectivity options
    • Integrating SAS applications with databases
  4. Creating Repository and creating folder levels at repository
    • Repository management
    • Organizing content in repositories
  1. SAS BI Dashboard
    • Introduction to BI Dashboard
    • Dashboard design and customization techniques
    • Integrating dashboards with SAS data sources
    • Enhancing decision-making with interactive dashboards

Who Should Attend?

This program suits professionals at many levels across the organization, including:

  • Data Analysts
  • BI Developers
  • Data Scientists
  • Business Analysts
  • Report Developers
  • Financial Analysts
  • Database Administrators
  • Academic Researchers
  • Healthcare Analysts
  • System Analysts
  • IT Analysts
  • Managers

What are the Prerequisites?

Professionals should have a basic understanding of  statistical concepts and data management principles to take the SAS Business Intelligence training course.

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Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual SAS Business Intelligence Training

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide
Standardized content for consistent outcomes
Join from own workspace, no travel
We scale to large groups across sites
Interactive tools keep remote learners engaged
On-site SAS Business Intelligence Training

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office
We tailor setup/content to your workplace and tools
Group exercises drive collaboration
Live demos +  hands-on practice
Direct trainer access to clarify doubts
Off-site SAS Business Intelligence Training

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice
Built-in group activities for bonding
Full uninterrupted schedule for focus/retention
Boosts morale and signals commitment

Get a Proposal Shaped to Your Needs

Need pricing for onsite, offsite, or virtual delivery? Get a proposal tailored to your team's needs.

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        What Sets Edstellar Apart

        Experienced Trainers

        Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

        Proven Quality

        With a strong global track record, Edstellar is known for quality and engaging delivery.

        Industry-Relevant Curriculum

        Our programs are built by experts to match the demands of today's industry.

        Fully Customizable

        Every program can be tailored to your organization's goals.

        Comprehensive Support

        We provide pre- and post-session support for a complete learning experience.

        Global Multi-Location & Multilingual Training Delivery

        We deliver in multiple languages to support diverse global teams.

        Hear from Organizations We've Trained

        "Attending the SAS Business Intelligence training was transformational for my professional development. As a Senior Software Engineer, the deep dive into industry best practices gave me the confidence to tackle coverage of hands-on exercises were immediately applicable to my work. I've confidently led multiple high-visibility initiatives leveraging this comprehensive knowledge. This course has become foundational to my continued success.”

        Raymond Alexander

        Senior Software Engineer,

        Corporate Strategy Firm

        "This SAS Business Intelligence course equipped me with comprehensive practical applications expertise that I've seamlessly integrated into our enterprise practice. The hands-on modules covering expert-led workshops and interactive I now confidently design solutions that consistently deliver measurable business results. We've reduced implementation timelines by 45% on comparable projects, validating the immediate impact of this training program.”

        Paolo Esposito

        Senior Software Engineer,

        Enterprise Solutions Provider

        "As a Senior Software Engineer overseeing operational excellence initiatives, the SAS Business Intelligence training significantly elevated our team's capabilities. The course expertly covered advanced methodologies, effectiveness. We completed our comprehensive digital transformation initiative significantly ahead of schedule. Our department has achieved remarkable improvements, demonstrating this course's lasting organizational impact.”

        Aziz Osama

        Senior Software Engineer,

        Enterprise Consulting Services

        “Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

        Aditi Rao

        L&D Head,

        A Global Technology Company

        Recognition That Motivates Your Team

        Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

        This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

        Recognition That Motivates Your Team

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