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Data Quality Management is a set of practices that aim to maintain high data quality within an organisation. These include the acquisition, maintenance, disposition and distribution of data. People, processes and technologies need to harmonise to improve data quality. Ultimately, DQM makes sure that decisions are based on the correct information.
Nexer has a well-proven process for identifying and eliminating data quality problems for our customers. By conducting data analysis and modeling, as well as identifying and reality-testing internal quality rules, we find the root causes of the discrepancies and involve colleagues in deciding how to eliminate them.
Are you ready to see what data quality management can do for you? We’ve got all the skills you need to make the future a promising one. Just send us a message and we’ll get back to you as soon as possible.