An organization's strategic decisions require actionable data analysis. It depends on clean data. The data is disorganised and scattered, making the analytical process less visible and exact. Data cleaning is the initial stage in data transformation, improving data quality and overall efficiency. Data cleansing based on :

Processing, defining, and correcting jumbled, unstructured data
Filling in missing values, finding and removing errors
Detecting, fixing and rectifying (or deleting) of irrelevant, inaccurate, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. Website:https://in2inglobal.com/