Data Cleansing

It involves systematically identifying and rectifying errors, inconsistencies, and inaccuracies in datasets. This process includes tasks like removing duplicate records, handling missing or incorrect data, standardizing formats, and verifying data quality. By ensuring clean and reliable data, you enhance the accuracy and integrity of your clients’ information, enabling them to make informed decisions and optimize their operations. Data cleansing is an essential step in the data analysis process, making the data more useful and valuable for your clients.