Today, organizations and leaders consider Artificial Intelligence, Automation, data quality management and analytics capability as a top investment priority. The role data quality plays the utmost role in enabling these future technology advancements. Data is quite frequently compared with oil. Oil in its real raw form – uses are limited. Once refined that oil becomes useful for various industry requirements. Similarly, data without quality is not really useful and for that, refinement process of data cleansing, data validation, data de-duplication, data enrichment, and ongoing data quality management process become paramount in leveraging these data for artificial intelligence, automation, advanced analytics and any other data consumption.