1. Data Cleaning: Remove any inconsistencies or errors in the data to ensure accuracy. 2. Data Integration: Combine data from different sources to create a comprehensive data set. 3. Data Visualization: Use charts, graphs, and dashboards to represent data visually. 4. Statistical Analysis: Apply statistical methods to identify patterns and correlations. 5. Predictive Analytics: Use machine learning algorithms to forecast future trends and behaviors.