Data Scrubbing

Data scrubbing is the process of reviewing and cleaning data to identify and correct errors, inconsistencies, or inaccuracies. It ensures that the data is accurate, reliable, and suitable for analysis or decision-making. This can involve removing duplicate entries, fixing typos, filling in missing information, or standardizing formats. Data scrubbing helps organizations maintain high-quality data, which is essential for effective operations and insights. By keeping data clean, businesses can improve their analytics, reduce mistakes, and make better, more informed decisions.