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Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order. Metadata Management Takes Time. Finding metadata, “the data about the data,” isn’t easy.

Metadata 135
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Top 10 Metadata Management Influencers, Sites, and Blogs You Must Follow in 2021

Octopai

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank.

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Automated Metadata Management Tools: Why Some Companies Struggle and Others Flourish During Corona

Octopai

Organizations are turning to the cloud and automated metadata management tools to successfully manage their business’s data. Hear real use cases of BI teams who are leveraging metadata management automation on the cloud while working remotely Check out our webinar "BI During COVID-19." Watch the Webinar.

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From Chaos to Control with Data Intelligence

erwin

This metadata is ingested into the data catalog, definitions are added within a business glossary, and the searchable repository enables users to understand how data is used and stored. Watch the full webinar. Click here to download a copy of the Gartner Magic Quadrant Report. Data Intelligence Just Got Smarter.

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What is BCBS 239 Compliance?

Octopai

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

In highly regulated environments, such as financial services, healthcare and pharma, attestations, audit trails and compliance reporting are required regardless of circumstances and will be difficult with a manual, laborious approach. As a result, look for more automated compliance solutions to hit the market.

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AI Governance: Break open the black box

IBM Big Data Hub

This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. This includes repeatability and the ability to capture of model development time, metadata, post-deployment model monitoring, and to customize workflows. Register for AI Governance webinar. Where do you go from here?

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