Data Cleaning in Data Mining is a First Step in Understanding Your Data

The ability to understand and correct the quality of your data is imperative in getting to accurate final analysis. Data mining is considered exploratory, data cleaning in data mining gives the user the ability to discover inaccurate or incomplete data–prior to the business analysis and insights. In most cases, data cleaning in data mining can be a laborious process and typically requires IT resources to help in the initial step of evaluating your data. Without proper data quality, your final analysis will suffer in accuracy or you could potentially arrive at the wrong conclusion.