Data transformation typically involves the following steps:
Data Cleaning: Removing duplicates, correcting errors, and standardizing formats. Data Integration: Combining data from different sources to create a unified dataset. Data Enrichment: Adding additional information to the data, such as demographic details or behavioral data. Data Aggregation: Summarizing data to make it more digestible and actionable. Data Transformation: Converting data into a format suitable for analysis and reporting.