Organizations have become highly data-centric in the past years, increasing complications and costs as the volume of data rose. However, data integrity issues alone cost organizations $12.9 million annually, on average, according to Gartner. Because of this, data professionals have spent valuable time, resources, and brainpower on identifying and solving data issues rather than higher-value tasks. Moving into Q4, the opportunity presents itself for data professionals to significantly improve their processes, by implementing automated testing as a part of the data migration, pipeline, and lifecycle.
