SAP BI (Business Intelligence) Certified Course

Course Description:

The SAP BI (Business Intelligence) course is designed to equip learners with the skills to transform raw data into meaningful insights that drive strategic business decisions. This course covers the entire BI lifecycle, including data extraction, modeling, warehousing, reporting, and analysis using SAP tools. Participants will learn how to work with SAP BW, SAP BusinessObjects, and SAP Analytics Cloud to design dashboards, generate reports, and visualize key business metrics effectively. Whether you are a beginner or an experienced professional, this program helps you master data-driven decision-making and enhances your ability to contribute to organizational success through intelligent analytics.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After SAP BI (Business Intelligence) Certified Course:

• SAP BI Consultant 
• Business Intelligence Analyst 
• Data Warehouse Specialist 
• SAP BW Consultant
• Data Visualization Expert 
• Reporting Analyst 
• Data Engineer
• BI Project Manager 
• SAP Analytics Cloud Specialist 
• Business Strategy Consultant

Essential Skills you will Develop SAP BI (Business Intelligence) Certified Course:

• Data Modeling and Warehousing
• ETL (Extract, Transform, Load) Processes 
• SAP BW and BI
• Data Visualization 
• Analytical Thinking 
• SQL and Data Querying 
• Performance Optimization
• Business Reporting 
• Integration with SAP Modules 
• Cloud-Based Analytics

Syllabus:

Module 1: Introduction to SAP BI Overview of Business Intelligence concepts SAP BI architecture and components Difference between SAP BI, BW, and BO BI workflow and data lifecycle.

Module 2: Data Warehousing Fundamentals Data warehousing concepts and architecture InfoObjects, InfoCubes, and DataStore Objects (DSOs) Star and snowflake schema design.

Module 3: ETL and Data Extraction Techniques Data extraction from SAP and non-SAP sources ETL process using SAP Data Services Data transformation and loading into SAP BW.

Module 4: Data Modeling in SAP BW Creating InfoAreas, InfoProviders, and MultiProviders Building data models using SAP BW Master data and transaction data modeling.

Module 5: Reporting and Query Design Working with SAP BEx Query Designer Creating queries, filters, and variables Designing analytical reports and key figures.

Module 6: SAP BusinessObjects (BO) Reporting Tools Overview of BO architecture Creating reports using Web Intelligence (WebI) Using Crystal Reports and dashboards.

Module 7: SAP Analytics Cloud (SAC) Introduction to cloud analytics Data modeling and visualization in SAC Building interactive dashboards and stories.

Module 8: SAP HANA Integration Understanding SAP HANA as a data sourceData provisioning and modeling in HANA Real-time reporting and analytics.

Module 9: Performance Optimization & Administration BI system performance tuning Data loading optimization Monitoring and administration tools in SAP BI.

Module 10: Industry Use Cases & Project Implementation Real-world BI scenarios and business case studies End-to-end BI project implementation Hands-on capstone project integrating BW, BO, and SAC tools.

Industry Projects:

• Sales Analysis Dashboard 
• Customer Segmentation 
• Inventory & Supply Chain Reporting 
• Financial Performance Analysis
• HR Analytics Dashboard 
• Real-Time Data Reporting Using SAP HANA
• ETL Process Implementation
• Executive KPI Dashboard
• Sales Forecasting
• End-to-End BI