Data standardization is the process of organizing data into a consistent format so it’s easier to understand, use, and share. It ensures that everyone who uses the data is on the same page, even if the data comes from different places or systems. Standardization makes data more reliable, compatible, and easier to analyze. If one system records "New York" as "NYC" and another as "New York City," standardizing them ensures all records are consistent, like always using "New York City." This helps avoid confusion, improves accuracy, and makes data integration smoother.
