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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
7、alytics development initiatives,then leverage those business users as ambassadors to their peers.2.Anticipate rollout challenges and pay close attention to getting the human-machine mix right.4Copyright 2022 IIA All Rights ReservedExecution ObstacleNot Embracing Agile AnalyticsWarning Signs:1.Rigid
8、application of classic agile methodologies leads to confusion and/or lack of success2.Team members who declare that agile methods arent neededRemedy/Prevention:1.Use flexible project templates,tap agile-experienced staff for advice on best practices,and adopt elements that set analytics teams up for
9、 success.2.Hire people with agile experience if internal resources are thin or non-existent.5Copyright 2022 IIA All Rights ReservedWarning Signs:1.Analysts complain that they spend as much time managing production processes as they do building new ones2.Analytical processes are too slow and using ma
10、ny computing resources to reach the scale requiredRemedy/Prevention:1.Begin thinking about how an analytical process will be deployed as the initial scoping is being done.Dont wait for it to be an afterthought.2.Document the expected plan and have someone with expertise in optimizing system performa
11、nce an AnalyticOps specialist drive the implementation.6Execution ObstacleModels:Slow Adoption of Analytics/AI/MLOpsCopyright 2022 IIA All Rights ReservedWarning Signs:1.Users complain about the lack of ability to find and use data2.Allocating permissions and tracking user activities is difficult an
12、d time-consumingRemedy/Prevention:1.Elevate data governance to a tier 1 focus level,which includes investing in enterprise-level data governance solutions that assist with all aspects of data governance.2.Ensure that corporate leadership understands that proper governance is a necessary component of
13、 a successful enterprise analytics program.While it can bring substantive costs initially,the benefits that solid data governance provides will be worth it in the long run.7Data and Technical ObstacleData Governance:Insufficient and InflexibleCopyright 2022 IIA All Rights ReservedWarning Signs:1.No
14、thorough and comprehensive migration plan,yet lots of“lets get the migration started”pressure2.Users have not been given training on how to best utilize and optimize a cloud environmentRemedy/Prevention:1.Create a logical prioritization of data sources and analytical processes to be migrated.2.Under
15、take substantial planning for user readiness and trainingto ensure that people know how to optimize processes in the new environment.3.Third,a plan for detailed testing of cloud processes to enable decommissioning of current systems is necessary to avoid paying for multiple platforms longer than nec
16、essary.8Data and Technical ObstacleAnalytics Platform:Cloud Adoption ProblemsCopyright 2022 IIA All Rights ReservedWarning Signs:1.Resistance from management to maintain flexible work arrangements post-COVID2.Higher than normal attritioncombined with a lower success rate during recruitmentRemedy/Pre
17、vention:1.Accept the new normal:Employee expectations around work environment and location have changed for good.Dont fight it.2.Expand your horizons:As organizations from outside your area recruit your employees,follow the same approach and broaden the pool of candidates that youll consider hiring.
18、3.Update your policies:Stress the flexibility of the organization in how work gets done.Empower employees to determine the right mix of in-person and remote work to maximize productivity.9People ObstacleStaffing:Navigating the New NormalCopyright 2022 IIA All Rights ReservedWarning Signs:1.Analytica
19、l teams commonly complain about the business teams lack of readiness to make use of analytical output.2.Business teams commonly complain about the analytics teams lack of ability to explain what theyve found and how to make use of it.Remedy/Prevention:1.Be specific about what businesspeople in speci
20、fic roles need to understand and can do with analytics.2.Set development goals,provide training,and offer ongoing support.Businesspeople should effectively“minor”in analytics.10People ObstacleBusiness Talent:Lack of Data LiteracyCopyright 2022 IIA All Rights ReservedBecome an IIA Client to Access th
21、e Full Brief IIA clients get access to the full Revisiting Common Obstacles to Analytics Success in 2022 research brief online and as a PDF which contains more common obstacles and more in-depth warning signs and remedies.Research&Advisory Network(RAN)clients have direct access to the experts that d
22、eveloped this content and framework with on-demand inquires.11Copyright 2022 IIA All Rights ReservedDont go it alone.Let IIA guide your |We work with clients to build and grow their analytics organizations.Benefit from our unbiased,unrivaled network of analytics experts,practitioners and thought leaders.11.15V3