Remove Analysis Remove Healthcare Remove Insurance Remove Metadata
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Data Intelligence and Its Role in Combating Covid-19

erwin

Privately it will come from hospitals, labs, pharmaceutical companies, doctors and private health insurers. Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans. Data lineage to support impact analysis.

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Benefits of Enterprise Modeling and Data Intelligence Solutions

erwin

In particular, the tool helped them to design their qualification review, which is necessary in a pharmaceutical business. We use erwin DM to do all of the levels of analysis that a data architect does,” said Sharon A., a senior manager, data governance at an insurance company with over 500 employees.

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Mastering healthcare data governance with data lineage

IBM Big Data Hub

Healthcare organizations need a strong data governance framework to help ensure compliance with regulations like the Health Insurance Portability and Accountability Act of 1996 (HIPAA) in the US and the General Data Protection Regulation (GDPR) in the EU. Inaccuracies might also lead to more delays or complications with insurance coverage.

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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. Healthcare The healthcare industry is using intelligent automation with NLP to provide a consistent approach to data analysis, diagnosis and treatment.

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7 Benefits of Metadata Management

erwin

Metadata management is key to wringing all the value possible from data assets. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset.”.

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Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. That’s time needed and better used for data analysis. Metadata-Driven Automation in the BFSI Industry. Metadata-Driven Automation in the Pharmaceutical Industry.