Data cleansing, also known as data scrubbing or data cleaning, is the process of identifying and correcting or removing incorrect, incomplete, or irrelevant data from a database or dataset. Data cleansing is an important step in the data preparation process, as it helps to ensure the accuracy, consistency, and completeness of the data, which is critical for making informed decisions and achieving desired outcomes.
There are several reasons why data cleansing is necessary:
Techniques that can be used for data cleansing, including:
It is important to note that data cleansing can be a time-consuming and resource-intensive process, especially for large datasets. However, the benefits of having clean data far outweigh the costs, as it can lead to more accurate analysis, better decision-making, and improved business outcomes.
Hope this helps! Let us know if you need PiLog’s Data cleansing service.