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1、Business Intelligence Meets AISelf-service analytics that finally workeBookContents Foreword.3Redefining Self-Service Analytics:A New Era in Business Intelligence.6The Evolution of BI:From Dashboards to Discovery.10The GenAI Revolution in BI.12The Limits of Bolt-On GenAI in BI.14Why Data Intelligenc

2、e Is Essential for BI Success.17Compound AI:The Key to Unlocking Data Intelligence.22Next-Generation Self-Service Analytics in Practice.28Databricks AI/BI:Advancing to Real-World Intelligent Analytics.342B U S I N E S S I N T E L L I G E N C E M E E T S A IFor years,organizations have been trying to

3、 democratize analytics,i.e.,to make analytics more accessible to business users.At TDWI,weve seen that self-service analytics easy-to-use solutions for nontechnical users who do not require coding and do not require IT to set up data access,queries,visualizations and preparation has been the top pri

4、ority for organizations we survey.This had been the top response in our surveys for more than five years,and now in 2025,self-service analytics came in a close second,behind only generative AI.There are numerous benefits to this democratization via self-service.Democratizing business intelligence(BI

5、)empowers organizations by enabling faster,more informed decision-making.Specifically,with self-service access to data and insights,business users can make real-time decisions without waiting for IT and data analysts,increasing agility and responsiveness.As more employees engage with data in their d

6、aily workflows,organizations can foster a strong culture of data-driven decision-making,leading to more strategic and informed actions.Additionally,by shifting routine reporting and analysis to end users,IT and data teams can focus on higher-value initiatives such as data governance,advanced analyti