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Mastering healthcare data governance with data lineage

IBM Big Data Hub

The healthcare industry faces arguably the highest stakes when it comes to data governance. The impact of healthcare data usage on people’s lives lies at the heart of why data governance in healthcare is so crucial.In healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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Metadata Management, Data Governance and Automation

erwin

erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. Data governance maturity includes the ability to rely on automated and repeatable processes.

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The Value of Data Governance and How to Quantify It

erwin

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

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Intelligent Search – Strategies to Find What You Need

AIIM

For many organizations, especially those in jargon-intense fields like the Oil and Gas, Pharmaceutical, or Healthcare industries, “speaking the right language” goes well beyond standard search terms. Sift and Aggregate: With so much information to manage, it can help to reduce the chaos. Do this by “sifting and aggregating” what you find.

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MY TAKE: Why ‘basic research’ is so vital to bringing digital transformation to full fruition

The Last Watchdog

An estimated 60% of research and development in scientific and technical fields is carried out by private industry, with academic institutions and government accounting for 20% and 10%, respectively, according to the Organization for Economic Cooperation and Development. NTT Group, for instance, typically spends more than $3.6

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Enterprise Architecture: Secrets to Success

erwin

big data, analytics and insights)? With more governance around the information and processes we use to document that information, we can produce more accurate and robust analyses for a true “as-is” view of the entire organization for better decision-making. Data Overload : How do we find and convert the right data to knowledge (e.g.,

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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. Additionally, biopharma companies may find themselves building out AI capabilities in-house sporadically and without overarching governance.