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A well-designed data architecture should support businessintelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.
Data-as-a-Service and data marketplaces are well established to create data value from initiatives built on data analytics, big data and businessintelligence. Take the example of a client who integrated a set of disparate company ESG data into a new dataset. Popular service consumption types include download, API and streaming.
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