Transform raw, messy data into usable formats by handling missing values, duplicates, and inconsistencies.
Combine data from multiple sources (e.g., databases, spreadsheets) into a unified dataset.
Ensure data accuracy, consistency, and reliability for analysis.
Summarize historical data (e.g., sales trends, customer behavior).
Identify root causes of past outcomes (e.g., why sales dropped last quarter).
Uncover patterns, correlations, or anomalies in datasets.
Analyze market trends, competitor data, or survey results to guide business strategies.
Create visually compelling reports tailored to stakeholder needs.
Translate complex findings into actionable narratives for non-technical audiences.
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