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Supercharge Your Search Accuracy with Auto-Applied Email Metadata Upon Ingestion

AIIM

The ever increasing petabytes of data required to do business in the modern world of work require utilizing metadata to tag content. Why Metadata? Metadata (aka tags, properties, labels) is the key component in any robust Information Architecture plan. How to Develop a Bottom-Up Information Architecture Approach.

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How to Build a Metadata Plan in Five Steps

AIIM

Metadata resides at the center of many of the essential aspects of content management. In addition to helping organize and classify content, Metadata enables good findability, can trigger workflow and transactional processes, reveals document usage patterns and history, and helps establish retention and disposition events.

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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.

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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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Collibra wins a gold medal for metadata management

Collibra

So, we are incredibly excited to announce that Collibra is a gold medal winner in this year’s SoftwareReviews’ Metadata management data quadrant awards. . According to SoftwareReviews, Collibra was up against a handful of data intelligence tools to determine the best metadata management solution. . That’s what matters most to us. .

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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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Metadata Management, Data Governance and Automation

erwin

With automation, data professionals can meet the above needs at a fraction of the cost of the traditional, manual way. And this time, you guessed it – we’re focusing on data automation and how it could impact metadata management and data governance. Better quality code and minimized rework. Click here to take the brief survey.

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