1、 The Future of BI&Analytics Adopting Generative AI for Analytics:Early Trends,Lessons and Best Practices Authors:Kevin Petrie,Alexander Seeliger and Robert Tischler Publication:March,2024 Abstract This report examines survey results for 238 data leaders and practitioners about their use of GenAI for

2、 business intelligence and analytics,including adoption status,benefits,risks,use cases and best practices.It recommends taking a pragmatic approach to risk mitigation and data governance;strengthening the organizational data culture;simplifying deployment options;and applying GenAI to unstructured

3、and semi-structured datasets.Research sponsored by:2 The Future of BI&Analytics,March 2024 BARC GmbH,Eckerson Group 2024 Table of Contents Executive Summary.3 Key Takeaways.3 Adoption Status and Outlook.3 Benefits and Risks.4 Rollout Details.4 Recommendations.5 Introduction.6 Generative AI Defined.6

4、 Status and Outlook.7 Improvements.9 Benefits.11 Risks.13 Rolling Out GenAI to Turbocharge BI&Analytics.18 Respondent Comments.24 Surveys and Demographics.25 About BARC.26 About Eckerson Group.27 About Board.28 About Dataiku.29 About Domo.30 About IBM.31 About Slalom.32 About Qlik.33 3 The Future of

5、 BI&Analytics,March 2024 BARC GmbH,Eckerson Group 2024 Executive Summary Generative AI(GenAI)enables business intelligence and analytics(BIA)teams to prepare and analyze data using natural language,thereby boosting productivity and tackling more sophisticated use cases.Both methods go beyond natural

6、 language processing to convert human commands to SQL queries,describe findings and perform myriad other tasks while conversing with users.BIA teams are taking advantage of GenAI features within their BIA tools or general-purpose language models.So,what can we learn from adoption trends so far?This