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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.
Doug Henschen of Constellation Research and Ryan Segar of Sisense discuss the market challenges of BI, and how companies use embedded intelligence, predictive analytics, and ML to innovate. For further insights, we invite you to examine the evolution of embedded analytics now at https://www.sisense.com/reports/const...