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Data quality refers to the tools and processes that result in the creation of correct, complete and valid data that is required to support sound decision-making.


newsCollaboration will progress with a proof of concept describing areas where ACORD data standards may map to XBRL insurance solvency and other business information taxonomies
newsVisualization software features more access and data manipulation, though Forrester analyst sees one “caveat” for widespread adoption
blogHow Hubble peered into a health crisis
columnMaster data management is now a mature technology providing tangible benefits for private and public sector organizations. Failure to execute data governance concurrently with an MDM program greatly decreases the probability of success and economic sustainability
reportVentana report finds sluggish maturity, but high returns with governance and MDM in place
blogInnovation theory has two big problems
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reportNucleus case studies give a primer on the importance of data implementation maturity; limited big data capabilities can lead to failure, analyst says
columnSince observation does not directly delineate requirements, it is up to the BI analyst to structure the surveillance so that it can be used as the basis for gleaning requirements
profileAMIA President Fickensher not afraid to shake things up en route to quality informatics
newsExpert Linda Kloss gives top 10 trends after reform and tech initiatives are set in place
blogMachine data concept provides operational intelligence opportunities
newsIBM, Red Hat, Dell and others in Linux Foundation lead inaugural open source cloud event
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