The Data Accuracy market is currently undergoing a paradigm shift from complex, monolithic, on-prem solutions to nimble, lightweight, cloud-first solutions. As the production of data accelerates, the costs associated with maintaining bad data will grow exponentially and companies will no longer have the luxury of putting data quality concerns on the shelf to be dealt with tomorrow.
In attempt to meet these challenges, companies will be tempted to turn to traditional Data Quality and Master Data Management solutions for help.