2025自助服务与自动化状况报告

By Fern Halper, Ph.D.TDWI VP of Research Sponsored by: State of Self-Serviceand Automation By Fern Halper, Ph.D. Table of Contents The Scope and Importance of Self-Service. . . . . . . . . . . . . . . .2The Overall State of Self-Service Maturity................4The State of Organizational Culture for Self-Service. . . . . . . . . . .5The State of Data Maturity for Self-Service. . . . . . . . . . . . . . . .7The State of Data Infrastructure Maturity for Self-Service. . . . . . . .8The State of Self-Service Enablement. . . . . . . . . . . . . . . . . .11Building Data Literacy........................13The State of Governance for Self-Service. . . . . . . . . . . . . . . .13Considerations and Best Practices for IncreasingSelf-Service Maturity. . . . . . . . . . . . . . . . . . . . . . . . . .14Research Methodology.........................17From Our Sponsor. . . . . . . . . . . . . . . . . . . . . . . . . . . .18About the Author............................19About TDWI Research. . . . . . . . . . . . . . . . . . . . . . . . . .19 Generative AI is further acceleratingthis shift by providing natural languageinterfaces for data—allowing users to askquestions, explore trends, and generatesummaries without needing deep technicalskills. These innovations lower the barrierto entry for advanced analytics and mightclose the gap between data access andmeaningful, self-service insight. In fact, theintegration of generative AI into BI and AItools may become the force that propelsself-service to enterprise-wide capability. The Scope and Importanceof Self-Service When self-service first gained traction,the focus was largely on analytics, givingbusiness users easier access to data andvisualization tools. Today, self-serviceextends across the entire data and analyticslife cycle. Automation is central to thisshift, with low-code and no-code platformsenabling citizen developers to create andmanage data processes, improve quality, andensure integrity—all critical to analytics—without heavy IT involvement. By expandingself-service, organizations can build a trustedfoundation that empowers more people towork confidently with data. Benefits of self-service include: •Greater agility and collaboration.Extending self-service across the datalife cycle, supported by automationand low-code tools, creates a sharedunderstanding across departments,aligning goals and improvingcommunication. Organizations thatembrace this culture are more agile andbetter equipped to adapt to dynamicmarket conditions. Organizations continue to prioritize self-service analytics as a way to acceleratedecision-making and reduce IT bottlenecks.This trend is important to thoseorganizations that want to move beyondspreadsheets and static dashboards to buildan analytics culture. This is one in whichinsights are not confined to a centralizedteam, but instead are embedded ineveryday workflows across departments.Self-service can reduce bottlenecks,accelerate time to insight, and foster greatercollaboration between business and IT, withIT enabling and governing the environmentin the background. •Improved decision-making.Enablingbusiness users to directly access dataand analytics tools improves their abilityto make real-time, data-driven decisions.This removes dependencies on IT orcentralized data teams, acceleratinginsight generation. Self-service makessense since business users are closest tothe questions that matter. Empoweringthem to ask follow-up questions, performexploratory analysis, and test hypothesesleads to better decisions. For example,marketing professionals may need toquickly assess and experiment withcustomer experience metrics; they require Today, self-service is evolving beyondsimple access and visualization to includemore advanced capabilities. Solutions arenow emerging that surface automatedinsights, guide users through the processof building predictive models, and embedmachine learning within intuitive interfaces. This isn’t to say that everyone in theorganization should analyze their data.Some employees may not have an analyticsmindset. They may be overburdened withother responsibilities or simply don’t seethe value of using data for decisions intheir particular job. The goal of self-serviceshould be to ensure that those who needdata to drive strategic or operationaldecisions are empowered to use it. fast access to analytics to make timelyimprovements that can’t always wait for IT. •Employee empowerment.Access toself-service analytics supports continuouslearning, skill development, and greateremployee engagement across technicaland non-technical roles. In TDWI research,we’ve seen that respondents believeempowering more users with analyticscapabilities is important to increasing datavalue and BI success. IT teams also benefitby shifting from repetitive dashboardcreation to more strategic, advanced taskssuch as machine learning. Business usersin functions such as sales and marketinggain autonomy to analyze and act on dataindependently. This