Remove Analysis Remove Compliance Remove Government Remove Healthcare
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Why IDMP compliance requires adaptive data governance

Collibra

Pharmaceutical, biotech and medical devices firms, among others, must comply with a plethora of regulations. This requires every company to perform gap analysis to determine what is required and then update their systems, processes, workflows and data management strategy accordingly to ensure compliance.

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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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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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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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Enterprise Architecture: Secrets to Success

erwin

Today, enterprises are trying to grow and innovate – while cutting costs and managing compliance – in the midst of a global pandemic. Compliance and Legislation : How do we manage uncertainty around legislative change (e.g., Taking months to perform impact analysis and solution design is no longer viable, and data has to be agile.

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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.

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Delivering ROI for Our Customers When it Matters Most

Reltio

This allows those teams to focus more on higher value-added research and data analysis. Customers interviewed in the study were from the pharmaceuticals, technology, insurance and retail industries. They managed their data sources with a hybrid of primarily on-premises, third-party tools and in-house, customized solutions.

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