How much money do data practitioners estimate is lost due to poor data quality? More than one-quarter of global data and analytics employees who claim poor data quality is an obstacle to data literacy at their organization estimate they lose more than $5 million annually due to poor data quality, with 7% reporting they lose $25 million or more, according to Forrester’s Data Culture And Literacy Survey, 2023. In this era of expanding artificial intelligence adoption, data leaders must take action now to enhance data quality and ensure the integrity of decision-making processes to prevent avoidable and exponential fiscal losses.