In today’s rapid business world, decision-making is often fraught with complications and inefficiencies; many enterprises struggle with making timely decisions and are vulnerable to risky events and crisis. The advent of a new discipline in decision intelligence (DI) enables a structured approach to this issue, leading to better-informed decisions that provide a competitive advantage in the business landscape.
According to Gartner, which recognises this emerging field as a top strategic technology trend, decision intelligence is a “practical domain framing a wide range of decision-making techniques bringing multiple traditional and advanced disciplines together to design, model, align, execute, monitor, and tune decision models and processes. Those disciplines include decision management and decision support as well as techniques such as descriptive, diagnostics and predictive analytics”. When enterprises use DI and the AI capabilities it brings to bear, enterprises are transfor