Dirty data can appear because of duplicate values, mis-spellings, data type parsing errors and legacy systems. Without ensuring that data is properly cleaned in the exploration and processing phase, we will surely compromise the insights and reports subsequently generated. As the old adage says, garbage in garbage out. Check here for details.