AI-powered analytics improves productivity by 27 to 43 percent
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Generative AI is driving productivity improvements of 43 percent for data analysts and 27 percent for analytics consumers by changing how organizations interact with their data. Capabilities delivered accelerate the analytics workflow and enable faster insights across business functions, with pronounced gains in finance, logistics, and talent management. To investigate this shift, Nucleus analyzed deployments of AI-powered analytics capabilities across multiple organizations, examining productivity impacts, workflow changes, and improvements across user roles. Returns were seen in less than five weeks post-deployment, with data analysts achieving 80 to 90 percent faster dashboard and report generation through AI-powered auto-generation features, and natural language capabilities compressing analytical discovery from days to hours for line-of-business consumers.
Learn more about Nucleus Research’s ROI case study approach here.
Gain the knowledge you need to effectively develop and deliver a financial business case at ROIUniversity.com.
- Have a specific question? Query our research catalogue with the Nucleus AI Tool.
- Learn more about Nucleus Research’s ROI case study approach here.
- Gain the knowledge you need to effectively develop and deliver a financial business case at ROIUniversity.com.
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