Data modernization, especially through cloud migration, is critical to realizing value from today’s fast, diverse, and high-volume data. Modernization is about overhauling legacy data management and practices that hold organizations back from achieving business goals, improving resilience, and reducing risk. However, often overlooked in the rush to develop new applications and migrate data is modernizing data governance. Poor attention to data governance will bake problems into overall modernization efforts that become hard to correct, increase risks, and ultimately reduce the value of data.
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As rare diseases are so rare, patients are often misdiagnosed for many years, or never correctly diagnosed. Electronic health records hold much important information that can be used to correctly diagnose and treat these patients, but identification of phenotypic sets is hard to extract from reams of data.
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In this webinar, Heap’s head of Data Science, David Robinson, will talk about why we took a data-science-led approach to insights that starts with the questions teams actually care about. He’ll also talk about how a combined quantitative + qualitative platform gives teams the predictive information they need and the context that makes that information actionable.
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Agillic
There is a lot of focus on big data, but sometimes it makes sense to look at the small data at hand and explore how to drive value from that. In this webinar, Mike Weston will present how to iteratively work with the data available, from e.g. purchase patterns, web browsing or location data, and gradually grow big insights.
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