Data alignment is the process of ensuring that data from different sources or datasets are compatible and comparable for analysis, often involving transformations or adjustments to achieve consistency. It is crucial for accurate data integration, analysis, and interpretation, especially in fields like data science, machine learning, and business intelligence.