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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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From Chaos to Control with Data Intelligence

erwin

To manage not only risk but also to grow and compete effectively requires the ability to deal with both planned and unplanned change. 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.

Metadata 141
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Doing Cloud Migration and Data Governance Right the First Time

erwin

And you can’t risk false starts or delayed ROI that reduces the confidence of the business and taint this transformational initiative. With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

January 2020 is a distant memory, but for most, the early days of the pandemic was a time that will be ingrained in memories for decades, if not generations. Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. .

Analytics 109
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Surviving Radical Disruption with Data Intelligence

erwin

IDC defines data intelligence as business, technical, relational, and operational metadata that provides transparency of data profiles, classification, quality, location, context, and lineage, providing people, processes, and technology with trustworthy, reliable data. Parts of this blog are excerpted from my keynote on day No.

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5 Ways Data Modeling Is Critical to Data Governance

erwin

It is a tried-and-true practice for lowering data management costs, reducing data-related risks, and improving the quality and agility of an organization’s overall data capability. That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts.

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What’s the Current State of Data Governance and Automation?

erwin

The 2020 State of Data Governance and Automation (DGA) report is a follow-up to an initial survey we commissioned two years ago to explore data governance ahead of the European Union’s General Data Protection Regulation (GDPR) going into effect. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant.