1、The New Operating Model for AnalyticsGuiding Principles for Leading with AI2026 ReportCommissioned survey conducted by:Table of ContentsIntro and Methodology 03GenAI Maturity Across the Business 04The Gap Between Leaders andLaggards 06Solving the Legacy Latency Crisis 08The Changing Operating Model
2、ofAnalytics 10Breaking the Ceiling on Scale 12Scaling Agentic Analytics:Build vs Buy 14New Skills and Roles Emerge from Agentic AI 16Change Management:A New Business Imperative 18Conclusion:A Path Forward 19Survey Demographics 2102The New Operating Model for Analytics 2026 ReportINTRO AND METHODOLOG
3、YBeyond Dashboards:The Shift to AI-Driven ActionBusinesses are racing toward AI-assisted execution across every function.Yet,many data teams are still stuck in the past,operating as dashboard factories with a bolted-on AI model.You know the story:create a ticket,build the report,analyze the data,dec
4、ide what to do,and take action elsewhere.While dashboards have served businesses for decades,relying solely on these outdated,legacy workflows puts teams at a serious disadvantage.When answers arrive after the decision window closes,your analytics turn into a history lesson insightful,but irrelevant
5、.This is the real opportunity of AI.To see how organizations are seizing this opportunity we surveyed 1,200 global data and business leaders across North America,EUR and APAC.Every respondent has either implemented GenAI in analytics or plans to within the next 12 months,and their usage of GenAI and
6、 Agentic AI defines their AI maturity in analytics.However,a deeper analysis of the survey responses reveals that the real measure of maturity isnt just AI adoption;its how quickly and confidently teams can deliver trusted answers at scale and turn those answers into decisive action.This is the fast
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