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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. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements.

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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.

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Data Governance Maturity and Tracking Progress

erwin

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. erwin Data Intelligence. Predictability. Synchronicity.

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From Chaos to Control with Data Intelligence

erwin

Being able to integrate all data touchpoints, including erwin DM for data modeling, Denodo for data visualization, and Jira for ticketing, has been key. Watch the full webinar. Data Intelligence Just Got Smarter. Greater visibility into business and data lineage through new vantage points, filters and drilldowns.

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What is BCBS 239 Compliance?

Octopai

Metadata Management is the Key to Successful Data Governance Learn more in the webinar, "Metadata Management Automation for the Governance Minded" Watch the Webinar! BCBS 239 and Automated Metadata Management Tools. You may recognize the common thread running through all of these principles: Metadata.

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Why erwin Data Intelligence 12 led me to Quest

erwin

First, erwin Data Intelligence 12.0 delivers new integrated data quality capabilities for customers. Customers then use the erwin Data Quality platform to automate the data discovery, profiling and quality assessment of their data sources. Figure 1: erwin Data Intelligence 12.0

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Gartner Data & Analytics Summit 2022 in London: 3 Key Takeaways

Alation

Establish what data you have. Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often.