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How Are Remote Work and New Technologies Impacting Information Management?

AIIM

The best ROI we’ve seen is when AI is part of the initial analysis of the content (intake). More robust strategies included content intake, business process or workflow, and governance solutions. For more best practices and recommendations, download a free copy of this ebook. AI can provide a great start for reviewing content.

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Four use cases defining the new wave of data management

IBM Big Data Hub

A data fabric automates data discovery, governance and consumption, enabling enterprises to use data to maximize their value chain. We’ve identified four of the top use cases for the data fabric below along with a brief overview and links to a more in-depth eBook and trial. Read the eBook. Data governance and privacy.

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Unlocking the power of data sharing: 4 highlights from Data Citizens ‘24

Collibra

We also learned how TELUS established a foundation of capabilities to ensure that this metadata shared across the organization is appropriately governed and maintained to drive excellence at the world-leading telecommunications company. This enables various business use cases within their organization.

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The Value of Enterprise Architecture to Innovation and Digital Transformation

erwin

The process of innovation needs to be managed and governed in the organization because it’s an important facet of a company’s overall function. Get the eBook: Enterprise Architecture and Innovation Management. And ultimately, it is a process in which the business and IT need to collaborate to drive the transformation.

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The Importance of EA/BP for Mergers and Acquisitions

erwin

FREE EBOOK] Application Portfolio Management For Mergers & Acquisitions . Industry and government regulations affect businesses that work in or do business with any number of industries or in specific geographies. Ensuring Compliance. The post The Importance of EA/BP for Mergers and Acquisitions appeared first on erwin, Inc.

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Data-driven companies must be able to quickly adapt

Collibra

Adaptive data and analytics governance is the foundation for becoming a data-driven company. The business insights available through the analysis of the data a company already owns are invaluable. Historically, data governance consisted of many manual processes with rigid rules focused on strict control of data.

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Empowering data mesh: The tools to deliver BI excellence

erwin

With distributed ownership there is a need for effective governance to ensure the success of any data initiative. In this blog, we’ll delve into the critical role of governance and data modeling tools in supporting a seamless data mesh implementation and explore how erwin tools can be used in that role. Governance is difficult.