Decision Intelligence Reduced the Complexity of Decision-Making Platforms

33% of important organisations will use decision intelligence in 2023, according to Gartner, which has named it one of the Top Strategic Technology Trends for 2022. Thanks to this technology, businesses of all sizes can now make data-driven decisions and provide every employee with access to cutting-edge AI-powered insights (even those without technical expertise). Business and analytics leaders should be aware of Decision Intelligence, as well as its importance and possible applications.

Best-in-class decision intelligence platforms significantly reduce the complexity of decision-making by transforming business questions into natural language, applying the appropriate algorithms (statistical, classification, and regression) in the most effective way (in-memory or pushing down queries to where the data is stored), and providing users with results in a format that is understandable and helpful for taking action (using natural language generated narratives and embedding).

With AI-Driven Automation, Automated Insights accelerates complicated data analysis to discover the why behind the what and offer guidance on how to improve outcomes (such as which segments/relationships to leverage). Automating root cause analysis, looking at key drivers, contrasting cohorts, and finding meaningful data segments that go beyond first-order facts and factors are all required to achieve this.

For decision-making, data exploration and ad hoc analysis are essential. Along with automatic results presentation, NLQ gives a quick explanation of what is happening. Natural Language Query By enabling any user, regardless of data capabilities, to freely explore and analyse terabytes of unaggregated company data in plain English in a way that is as simple and intuitive as a Google search, (NLQ) democratises exploration and analysis.


Location: United States

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