1、Copyright 2022 IIA All Rights ReservedRevisiting Common Obstacles to Analytics Success in 202211.15V3Copyright 2022 IIA All Rights ReservedAreas of Coverage*2Business ObstaclesLeadership:When Poor or ChangingBusiness Adoption:Resistance and Lack of TrustExecution ObstaclesProjects:Not Embracing Agil

2、e AnalyticsModels:Slow Adoption of Analytics/AI/MLOpsData and Technical ObstaclesData Governance:Insufficient and InflexibleAnalytics Platform:Cloud Adoption StrugglesPeople ObstaclesStaffing:Navigating the New NormalBusiness Talent:Lack of Data Literacy*This eBook partially covers 8 of the 12 obsta

3、cles in the full research brief.To gain access to the full research brief,become an IIA client.Copyright 2022 IIA All Rights ReservedBusiness ObstacleLeadership:When Poor or ChangingWarning Signs:1.Senior executives arent available when analytics managers and projects need them2.Executives delegate

4、responsibility for analytics activities and participationRemedy/Prevention:1.Analytics councils:Extend analytics management and governance to include an executive leadership council for enterprise analytics.You can learn more about IIAs Analytics Leadership Council here.2.Ongoing stakeholder analysi

5、s and engagement:Keep track of who needs to be on board with analytics initiatives or programs and just how on board they are.3.Leadership by example:A litmus test of an analytical business leader is actively owning ones scorecards3Copyright 2022 IIA All Rights ReservedBusiness ObstacleAdoption:Resi

6、stance and Lack of TrustWarning Signs:1.Businesspeople question the analytics,the data,or the fit with their workflow and decision processes2.People say,“If it aint broke,dont fix it”as an excuse to push back on new analyticsRemedy/Prevention:1.Include business users and subject-matter experts in an