Data Profiling Techniques are a set of methods used to gain insight into the characteristics, quality and structure of data sets. By examining large amounts of data in ways that can reveal patterns, trends and outliers, data profiling techniques provide an essential understanding of the data available for use in business decisions and processes. This knowledge can be used to improve accuracy and efficiency by identifying any opportunities for improving data quality or adapting processes to better accommodate the available information. Additionally, data profiling techniques can help businesses weed out potential risk factors and potential problems associated with data sets. By getting a better understanding of what lies within their datasets, companies can gain an invaluable edge over their competition.