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1、The Data Stack Evolution:Legacy Challenges and AI OpportunitiesTable of Contents03040506081011141616IntroductionExecutive summaryKey insightsCurbing enthusiasmReady,set,genAIBudgeting for the futureGetting the balance right people and technologyThe death of the spreadsheetConclusionAbout the researc

2、hData is a powerful engine of business innovation.Forty-five percent(45%)of the respondents we surveyed are using it to achieve faster,more confident decision-making;44%to improve customer satisfaction through personalization;43%to formulate new products and services.But,are businesses over-confiden

3、t about the quality of their data?As game-changing new technologies emerge,are organizations data-ready?Or are legacy data stacks,traditional budgeting practices,and disconnected data team structures holding businesses back in a constantly changing technological landscape?Led by insights from IT dec

4、ision-makers on data leadership teams,we examine how global businesses are managing their data stacks and discover answers to key questions,trends in data team practices,and predictions about which data stack technologies are set to rise and fall.Introductionuse data to achieve faster,more confident

5、 decision-making45%use data to improve customer satisfaction through personalization44%use data to formulate new products and services43%3 THE DATA STACK EVOLUTION:LEGACY CHALLENGES AND AI OPPORTUNITIES Executive summaryAs organizations become increasingly reliant on data-driven systems to run nearl

6、y every aspect of the business,the quality and availability of their data take on monumental importance.Add to that the pressure to adopt AI-based technology that is only as good as the data its trained on,and the criticality explodes.But the surprising truth,as revealed by our research,is that the