Answer Posted / Ruchi Raghav
1. Data Preparation: This stage involves cleaning, transforming, and organizing raw data for analysis. It includes tasks like data integration, data transformation, and handling missing or inconsistent data.n
2. Data Discovery: In this stage, patterns and relationships are identified within the prepared data using statistical analysis and machine learning techniques. Data mining algorithms are applied to find hidden insights and trends.n
3. Data Evaluation: The final stage involves evaluating the discovered patterns and assessing their relevance and usefulness for business decision-making. The results are presented in a clear, understandable format like charts, tables, or reports.
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