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Data to decisions examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multi-disciplinary approach that combines performance monitoring with traditional business intelligence and analytic technologies. In addition, data-driven decisions are increasingly delivered in the context of business applications rather than in separate, analytic interfaces.
Harvard’s Hunt Lambert, WEF’s Sheila Warren, and ASU’s Phillip Long join DisrupTV to explore how lifelong learning, blockchain governance, and public innovation are reshaping the future of society.