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7 Benefits of Metadata Management

erwin

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

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Keeping Up with New Data Protection Regulations

erwin

Some industries, such as healthcare and financial services, have been subject to stringent data regulations for years: GDPR now joins the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI DSS) and the Basel Committee on Banking Supervision (BCBS).

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Everteam.iFile | Connect, Extract, Process, Manage and Analyze all your Stored Information

Everteam

Everteam.iFile provides access to content from multiple data repositories as well as a simple and rich functionality combining Intelligent Document Management, Intelligent Workflow Automation, Intelligent Metadata Management and Extraction, Intelligent Processing and Classification of business critical-documents through discovery and auto-tagging.

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Like insurers, hedge funds dip into wearable, IoT data

Information Management Resources

Data is fast becoming the new frontier whether it comes from Fitbits, Rokus, Teslas or website metadata.

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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. Instead, it uses active metadata.

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Measure Twice, Cut Once: How the Right Data Modeling Tool Drives Business Value

erwin

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool.

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The most valuable AI use cases for business

IBM Big Data Hub

The IBM team is even using generative AI to create synthetic data to build more robust and trustworthy AI models and to stand in for real-world data protected by privacy and copyright laws. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.