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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. Data governance is a complex but critical practice. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order. Data Governance Attitudes Are Shifting.

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Transitioning to a Fully Digital Government

National Archives Records Express

National Archives Identifier: 6386418 This blog post is the first in a series focusing on specific areas agencies should consider in their transition to fully digital government. Introduction to Fully Digital Government OMB and NARA issued guidance that directed federal agencies to transition to electronic records.

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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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How Metadata Makes Data Meaningful

erwin

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

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Top 7 Data Governance and Metadata Management Blog Posts of 2019

erwin

Such understanding also equips organizations to meet customer demands as well as deal more effectively with the regulatory landscape – which is evolving at a fast rate. To help you prepare for 2020, we’ve compiled some of the most popular data governance and metadata management blog posts from the erwin Experts from this year.

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AI Governance: Break open the black box

IBM Big Data Hub

Customers, employees and shareholders expect organizations to use AI responsibly, and government entities are demanding it. Failure to meet regulations can lead to government intervention in the form of regulatory audits or fines, damage to the organization’s reputation with shareholders and customers, and revenue loss.

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How Metadata Makes Data Meaningful

erwin

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.