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DESCRIPTION:Click for Latest Location Information: http://smartdata2017.dataversity.net/sessionPop.cfm?confid=110&proposalid=9445\nThis talk will present:\n
\n how graphs can be used to virtually integrate data from different, heterogeneous sources and; \n how semantics can be added to make data smarter and enhance search.\n
\nWe will present two case studies focused in finance and healthcare.\nFirst, we will present how a large Multi-level Marketing organization, after multiple failed Enterprise Data Warehouse efforts, was able to make sense of their inscrutable order-management system by using semantic and data virtualization technologies. The time and cost to generate financial reports were dramatically reduced and more accurate reports resulted.\nSecond, we will present a patient stratification case study from the Ohio State University Wexner Medical Center. Traditional Enterprise Data Warehouse solutions did not satisfy the need due to cost and data privacy. By using semantic and data virtualization technologies, the medical center was able to identify 30% more patients in need of Left Ventricular Assist Devices (LVAD).\nThe attendees will learn about:\n\nMethodology to create Knowledge Graphs in conjunction with mappings\nArchitectural decisions on virtualization (NoETL) versus materialization (ETL)\nIntuitive ways to model financial and patient health information\nSearching financial and patient information which matches desired criteria
DTSTART:20170201T133000
SUMMARY:Semantic Search Applied to Finance and Healthcare: Two Case Studies
DTEND:20170201T141459
LOCATION: See Description
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