Unit 1
Introduction to Data Visualization and Business Intelligence – Meaning and importance of data visualization in business. Role of dashboards in managerial decision-making. Difference between reports, dashboards, and scorecards. Types of business data used for visualization. Overview of Power BI as a business intelligence tool. Visualization principles for business communication.
Unit 2
Data Preparation and Business Reporting in Power BI – Understanding business datasets and data sources. Data cleaning and transformation for business use. Importing data into Power BI. Creating basic charts and tables for business reports – its practical application on line chart, bar chart, scatter and pie charts. Role of filters, slicers, and drill-down features. Designing reports for different managerial levels.
Unit 3
Dashboard Design for Business Functions – Dashboard design principles and best practices. Sales and marketing dashboards. Finance and performance dashboards. HR and workforce dashboards. Operations and supply chain dashboards. KPI selection and visualization for business goals. Case examples of functional dashboards.
Unit 4
Dashboard Interpretation and Decision Support – Interpreting dashboards for managerial decision-making. Storytelling with data for business presentations. Using dashboards for strategic and operational decisions. Risks of misinterpretation and data bias and its impact on operations. Role of dashboards in data-driven organizational culture.
Unit 5
AI-Enabled Insights in Power BI – Introduction to AI features in Power BI. Role of AI visuals in identifying trends and patterns. Forecasting and trend analysis using AI tools. Natural language queries (Q&A) for business users. Automated insights and anomaly detection. Benefits and limitations of AI-driven insights. Human judgment vs AI-generated insights in decisions.