Archives for September, 2021 - Page 37

12 Sep

Understanding the Importance of Data Cleaning and Normalization

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Data Cleaning is a critical aspect of the domain of data management. The data cleansing process involves reviewing all the data present within a database to either remove or update information that is incomplete, incorrect or duplicated and irrelevant. Data cleansing is just not simply about erasing the old information to make space for new data, but the process is about rather finding a way to maximize the dataset’s accuracy without necessarily tampering with the data available. Data Cleaning is the process of determining and correcting the wrong data. Organizations rely on data for most things but only a few properly address the data quality.