Designing Business Intelligence Solutions with Microsoft SQL Server

Course Category : Data Management

A specialised programme on designing business intelligence solutions with Microsoft SQL Server to support enterprise reporting, analytics, and decision-making.
Duration: 5 Days | Level: Intermediate to Advanced

Introduction

Modern business environments require reliable analytical capabilities that convert fragmented data into actionable knowledge for planning, control, and decision-making. Microsoft SQL Server-based business intelligence solutions provide an integrated framework for data warehousing, ETL design, analytical modelling, and executive reporting. This course focuses on the methodological and architectural dimensions of BI solution design, clarifying how SQL Server supports data quality, integration, analysis, governance, and enterprise-level reporting.

Targeted Audience

Data and Business Intelligence Analysts
Database Developers
Data Warehousing and Data Engineering Professionals
SQL Server Administrators
IT and Information Systems Managers
Business Analysts and Technical Decision-Makers
Enterprise Reporting and Analytics Teams

Targeted Skills

Understanding BI solution architecture
Designing data warehouses and dimensional models
Analysing ETL processes using SSIS
Understanding analytical modelling with SSAS
Designing reports with SSRS and Power BI
Applying data quality and governance principles

Expected Outcomes

Understand the architecture of Microsoft SQL Server-based BI solutions.
Translate business requirements into analytical data models.
Design data warehouses based on dimensions and fact tables.
Understand the role of SSIS in data integration and ETL processes.
Evaluate the use of SSAS, SSRS, and Power BI in analytics and reporting.
Apply governance, quality, and security concepts within BI solutions.

Training Topics Index

Business intelligence concepts and decision-support role
Components of the Microsoft SQL Server BI environment
BI solution lifecycle
Operational versus analytical databases
Scalability and reliability principles

Data warehouse and data mart concepts
Fact and dimension table design
Star Schema and Snowflake Schema models
Keys and analytical relationships
Performance and data quality considerations

Extraction, transformation, and loading stages
Data flows and control flows
Error handling and data validation
Scheduling and monitoring integration packages
Documentation of data integration processes

Multidimensional and tabular model concepts
Measures and analytical indicators
Relationships and hierarchies
Performance considerations in analytical models
Analytical data access security

Enterprise reporting design with SSRS
Dashboard principles using Power BI
KPIs and analytical navigation
Report security and permission management
BI governance and solution sustainability

Course Features

Updated and Interactive Content
Hypothetical Examples and Case Studies
Pre- and Post-assessments to Measure Impact
Verified Certificate with a QR Verification Code