Data Quality and Data Preparation
Preparing Data for Analysis
High-quality data is essential for producing reliable business reports. Data preparation includes cleaning, validating, standardizing, and organizing information before analysis.
- Remove duplicate records.
- Correct inconsistent values.
- Handle missing data appropriately.
- Standardize formats and units.
- Validate data accuracy and completeness.
Note
Poor-quality data leads to inaccurate reports and poor business decisions.
Summary
Effective data preparation improves the accuracy, consistency, and reliability of analytical results.