Data Collection: Gathering data from various sources such as databases, social media, and transactional records. Data Cleaning: Removing inconsistencies and errors to ensure data quality. Data Integration: Combining data from different sources to create a unified dataset. Data Analysis: Applying algorithms and techniques to identify patterns and correlations. Interpretation: Translating the results into actionable insights.