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Mastering healthcare data governance with data lineage

IBM Big Data Hub

Also, using predictive analytics can help identify trends, patterns and potential future health risks in your patients. It’s worth noting that most electronic health records (EHR) systems offer predictive analytics capabilities. The accuracy of these analytics is limited by the accuracy of the data used.

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The Value of Data Governance and How to Quantify It

erwin

According to IDC, professionals who work with data spend 80 percent of their time looking for and preparing data and only 20 percent of their time on analytics. Specifically, 80 percent of data professionals’ time is spent on data discovery, preparation and protection, and only 20 percent on analysis leading to insights.

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Metadata Management, Data Governance and Automation

erwin

Of course, data governance has evolved with astonishing speed, both in response to data privacy and security regulations and because organizations see the potential for using it to accomplish other organizational objectives. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Despite advancements in the pharmaceutical industry and biomedical research, delivering drugs to market is still a complex process with tremendous opportunity for improvement. The ability to seize these advantages is one way that pharmaceutical companies may be able to gain sizable competitive edge.

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The most valuable AI use cases for business

IBM Big Data Hub

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. And if AI can guide a Roomba, it can also direct self-driving cars on the highway and robots moving merchandise in a distribution center or on patrol for security and safety protocols.

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Delivering ROI for Our Customers When it Matters Most

Reltio

A common refrain, for example, is that Reltio frees analytics and engineering teams up from the busy work of finding, de-duplicating, fixing and making data useful in a centralized location. This allows those teams to focus more on higher value-added research and data analysis.

MDM 52
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Regulatory Update: NAIC Summer 2021 National Meeting

Data Matters

Moody’s Analytics, in collaboration with the American Council of Life Insurers, developed the revised bond factors, which are based on more recent historical data, as the data on which the prior factors were based was approximately 30 years old.