Empower users with robust BI tools to transform raw data into business insights. Learn to enable easy data access, leverage Microsoft's tools, and build a comprehensive data platform across on-premises, cloud, and devices.
- Introduction to Business Intelligence
Overview of Business Intelligence (BI)
Importance of BI in decision-making
Key components of a BI system
- Understanding Data Sources
Types of data sources (structured and unstructured)
Accessing data from databases and other repositories
Data cleansing and preprocessing
- Microsoft BI Tools Basics
Introduction to Microsoft BI ecosystem
Overview of Power BI, Azure Synapse Analytics, and SQL Server
Installation and setup of Microsoft BI tools
- Power BI Fundamentals
Creating and managing dashboards
Using Power Query for data transformation
Building data models and managing relationships
- Advanced Power BI Techniques
Implementing DAX for calculations
Data visualization best practices
Using Power BI Service for collaboration and sharing
- Data Integration and Transformation
Using ETL processes with Microsoft SQL Server Integration Services (SSIS)
Connecting disparate data sources
Data warehousing concepts and design
- Cloud-based Data Solutions
Introduction to Azure cloud services
Storing and retrieving data with Azure Data Lake
Leveraging Azure Synapse Analytics for big data
- Building a Comprehensive Data Platform
Designing data architecture for hybrid environments
Ensuring data security and compliance
Scalability and performance optimization
- Real-world Case Studies
Analyzing business case studies using BI tools
Hands-on exercises with sample datasets
Developing actionable insights from data reports
- Trends and Future of Business Intelligence
Emerging trends in BI and data analytics
Impact of AI and machine learning on BI
Future-proofing BI strategies and tools
- Final Project
Creating a full BI solution using Microsoft tools
Presenting insights and recommendations
Peer review and feedback session