Remove Data structuring Remove Government Remove Marketing Remove Unstructured data
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Integrating Structured and Unstructured Data; Are we there already?

Everteam

“By 2022, 50% of organizations will include unstructured, semistructured and structured data within the same governance program, up from less than 10% today.” Gartner Market Guide for File Analytics. What if this requirement to separate unstructured and structured data is no longer necessary?

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Data governance use cases – 3 ways to implement

Collibra

However, once you have a system of record in place for your data, your organization can implement many valuable data governance use cases more easily. . In this post, we’ll highlight the top three most valuable data governance use cases. The data structure and requirements are not defined until the data is needed.

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The Impacts of Data Loss on Your Organization

Security Affairs

Understanding the different types of data is crucial for organizations as it helps them devise appropriate data protection and management strategies. Data can be classified into; Structured Data: Structured data refers to information that is organized in a predefined format.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Because data analysts often build machine learning models, programming and AI knowledge are also valuable. Data science use cases Data science is widely used in industry and government, where it helps drive profits, innovate products and services, improve infrastructure and public systems and more.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

While these RIM practices are still important to help ensure governance, compliance, and manage risks, it is also important to realize that information is both a product and a service. Leveraging a cloud-first approach also allows organizations to deliver new market-leading solutions more expediently. Information Governance (IG).