Cleaning data from multiple sources in order to convert it into a format that data analysts or data scientists can work with is a time-consuming process because, as the number of data sources grows, the time it takes to clean the data grows exponentially due to the number of sources and the volume of data generated in these sources. Cleaning data can take up to 80% of the time, making it an important element of the analytical process.