Business Intelligence & Data Analytics

This course is designed for professionals involved in business strategy, data analysis, finance, marketing, IT, and decision-making roles. It is ideal for executives, managers, analysts, and individuals seeking to enhance their ability to use data-driven insights for business growth and competitive advantage.

Day 1: Introduction to Business Intelligence & Data Analytics

• Overview of business intelligence and data analytics
• The role of data in strategic decision-making
• Understanding different types of business data
• Data governance, quality, and management best practices
• Common BI tools and analytics platforms
• Case study: How businesses use BI to drive success

Day 2: Data Collection, Processing, and Management

• Data sources: internal vs. external data
• Techniques for collecting and cleaning data
• Data storage and database management basics
• Introduction to data warehousing and cloud-based BI solutions
• Ensuring data accuracy, consistency, and security
• Hands-on exercise: Managing and processing raw data

Day 3: Data Visualization and Dashboarding

• Principles of effective data visualization
• Choosing the right charts and graphs for different datasets
• Creating interactive dashboards for business reporting
• Data storytelling: Communicating insights effectively
• Introduction to BI tools like Power BI and Tableau
• Hands-on workshop: Designing a BI dashboard

Day 4: Predictive Analytics and Machine Learning in Business

• Introduction to predictive analytics and its applications
• Understanding key machine learning models for business insights
• Forecasting trends and identifying patterns in data
• Risk assessment and fraud detection using analytics
• Integrating AI and automation in business intelligence
• Case study: How predictive analytics transforms industries

Day 5: Data-Driven Decision Making and Business Strategy

• Identifying key performance indicators (KPIs)
• Making strategic business decisions using data insights
• Competitive analysis and market intelligence using BI tools
• Ethical considerations in data analytics
• Future trends in business intelligence and analytics
• Course review and final BI strategy presentation