andmekorrastuseks

Andmekorrastuseks is an Estonian term that translates to "data cleanup" or "data cleansing" in English. It refers to the process of identifying and correcting or removing inaccurate, incomplete, improperly formatted, or duplicate data from a dataset. The primary goal of andmekorrastuseks is to improve the quality and reliability of data, making it more suitable for analysis, decision-making, and various business processes.

The importance of andmekorrastuseks stems from the fact that poor data quality can lead to significant problems, including flawed analysis, incorrect business decisions, wasted resources, and damaged customer relationships. Errors in data can arise from various sources, such as manual data entry mistakes, system integration issues, data migration problems, or outdated information.

Common tasks involved in andmekorrastuseks include standardizing data formats (e.g., ensuring all dates are in the same format), removing duplicate records, correcting typographical errors, filling in missing values where appropriate, and validating data against predefined rules or external sources. The process can be manual, automated, or a combination of both, depending on the complexity and volume of the data. Effective andmekorrastuseks is a crucial step in data management and a prerequisite for successful data-driven initiatives.