Data cleansing is a part of processing wherein it is ensured that the data is correct, consistent and useful. This process involves detecting and filtering errors or corrupt data entries, missing space, incomplete data typos and other related inconsistencies. These are all corrected and then, the data are transformed in a usable form or make it ready for analysis, research or any other business purposes. This is called processing. In the data world, a data cleansing and processing services company covers every step from capturing, web extraction, cleansing to quality testing and tailoring data format as per requirements. Today, these processes are the must-have for big data research, AI and data science. In short, Data Cleansing Processing can be a combination of, but is not limited to the following sub-processes: • Data Migration, which is all about data upload, capture, import, & export to the defined server/ cloud storage • Data Coll