Data normalization is important since it makes the various and dissimilar data sources ready to be analyzed meaningfully to match scales, formats, and units. This method is necessary to make sure that metrics can be compared, statistical operations are valid, and machine learning models can be reliably run. Lack of data normalization can cause bias in insights, invalid results and decision-making based on underlying inconsistencies.I hope this answer help you in understanding normalization of data.
