![]() Data profiling enables IT and business users to assess the quality of the data in order to identify and understand the Data Quality issues. You cannot correct Data Quality issues if you cannot detect them first. Data profiling, data measuring, and data visualization The tool must be able to plug into all relevant data in order to apply quality rules. ConnectivityĪ Data Quality Management tool has to be able to gather and apply quality rules on all enterprise data (internal, external, on-prem, cloud, relational, non-relational, etc.). Without going into too much detail, let’s illustrate the pros of a Data Quality Management tool through the main evaluation criteria of Gartner’s Magic Quadrant for Data Quality Solutions. One way to better understand the challenges of Data Quality is to look at the existing Data Quality solutions on the market.įrom an operational point of view, how do we identify and correct Data Quality issues? What features do Data Quality Management tools offer to improve Data Quality? The main features of Data Quality Management tools.The challenges and risks associated with Data Quality.In this series of articles, we will go over everything data professionals need to know about Data Quality Management (DQM): ![]() If we were to take some data professionals at their word, improving Data Quality is the panacea to all our business woes and should therefore be the top priority.Īt Zeenea, we believe this should be nuanced: Data Quality is a means amongst others to limit the uncertainties of meeting corporate objectives. Data Quality refers to an organization’s ability to maintain the quality of its data in time.
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