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Data Quality Management is a set of practices that aim at maintaining high data quality within an organisation. Including the acquisition, maintenance, disposition and distribution of data.
People, processes and technologies need to harmonise to improve data quality. And in turn, make sure decisions are based on the correct information.
Nexer has a well-proven process for identifying and eliminating data quality problems for our customers. Including data analysis, modelling, and identifying and reality-testing internal quality rules. We find the root causes to the discrepancies and involve co-workers in deciding how to eliminate them.
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