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Governing Predictive Analytics and Business Intelligence

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Governing Predictive Analytics and Business Intelligence
IT governance has become an essential part of current IT organizations. Coordinated decision-making on allocations and practices based on corporate priorities are well-honed. But the proliferation of predictive analytics brings new challenges not covered by current IT governance arrangements. What happens when different parts of the organization embed different predictive models in systems that are uncoordinated? Risks, some of which bring unintended consequences to organizational reputations.


In this report, Michael Goul documents emerging good governance practices and presents an Analytics Capability Reference Model that does for predictive analytics what COBIT, ITIL, and CMMI did for processes, infrastructure, and capabilities.

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