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This article gives a detailed introduction to data quality and the current status it has in healthcare.
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Ingesting large volumes of disparate data can yield a rich source of information — but it’s also a recipe for data chaos. Use these tips to improve data quality as your data lake grows.
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Compare the data quality solutions of SAS and Talend to find the best fit for your organization now.
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Explore the requirements of the data quality manager role, and examine the skills necessary to succeed as one.
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From verifying the quality of incoming data to improving the quality of existing data, open-source data quality solutions can benefit your organization.
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We cover the seven leading data quality solutions that simplify the work of data management and help turn all those cell values into something that can be used for business decisions. Continue reading Top 7 Data Quality Tools and Software
Data Ladder performs data quality reviews as a service to ensure your data is clean, complete and accurate. Discover more now.
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IBM InfoSphere QualityStage provides tools to manage the quality of your information throughout the data lifecycle and improve your business processes. Read more about this solution now.
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Data cleansing is a process by which a computer program detects, records, and corrects inconsistencies and errors within a collection of data.
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DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM?
The post Data quality management: Roles & responsibilities appeared first on TechRepublic.
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