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Data governance defines roles, responsibilities, and processes to ensure accountability for, and ownership of, data assets across the enterprise.
Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.
Learn how one company leveraged a modern BI and analytics platform to overcome fragmented data, empower its team, and drive significant sales and operational efficiency improvements. Understand the key considerations for selecting and implementing a
For IT pros who want to work in in the climate tech space, there are ample jobs in a number of industries.
Today’s CIOs are expected to deliver complex generative AI implementations, migrate from SAP legacy platforms to S/4HANA by 2027, and more, all while keeping the lights on. Process intelligence can serve as a secret weapon to help ensure they a
Data science is a method to transform business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more.
Data is now a living organism driving company success. To thrive, businesses must embrace AI-powered, automated data management across five critical pillars.
Demand for end-to-end platforms, the convergence of data and AI, and the evolution of roles in the generative AI era are all driving the change, say analysts.
Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.
As gen AI use continues to skyrocket, reports of business benefits are trickling in. But we're also seeing more cases where the tech can actually create more work than it saves.
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