1、Turn Data,Analytics and AI Into Strategic Growth DriversA 4-step guide to realize transformational outcomesG Follow Us on LinkedIn Become a ClientRoadmap:Turn Data,Analytics and AI Into Strategic Growth Drivers 2By 2027,60%of organizations will fail to realize the anticipated value of their AI use c
2、ases due to incohesive ethical governance frameworks.To ensure maximum business value,organizations must develop a modern data and analytics(D&A)strategy that aligns with the enterprises mission-critical priorities across all departments.A successful D&A strategy is outcomes-led and prioritizes esse
3、ntial D&A investments that drive the organizations success through enhanced data-driven decision making.This approach focuses on delivering quantifiable business impact across the organization.In contrast,organizations that adopt a data-focused D&A strategy may find themselves limited to merely supp
4、orting business functions,rather than driving transformativeoutcomes.How do you become a value-driven data,analytics and AI organization?n=566;all respondentsQ:What are the top 3 inputs to your D&A strategy?Source:Gartner Chief Data and Analytics Officer Agenda Survey for 2023Note:Only 1%have no D&A
5、 strategy of any note.The right-hand side pane shows the results from the cluster analysis,the two clusters(top performers and low performers)are statistically different with respect to stakeholder outcomes.High-performing CDAOs more likely to consider stakeholder outcomes as an input to D&A strateg
6、ySum of top 3 ranks OtherD&A strategy as a subset of IT StrategyDivisional objectivesTactical focus on process,business and system changesStakeholder outcomesCorporate or organizational strategy and visionTop performers:High organizational performance/high D&A team effectiveness Low performers:Low o