Alteryx2024数据堆栈的演进白皮书遗留问题与AI机遇并存英文版17页

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 researchData 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-confident 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 decision-makers on data leadership teams, we examine how global businesses are ma