《IIA Research：2023年商業智能（BI）成熟度框架報告（英文版）（16頁）.pdf》由會員分享，可在線閱讀，更多相關《IIA Research：2023年商業智能（BI）成熟度框架報告（英文版）（16頁）.pdf（16頁珍藏版）》請在三個皮匠報告上搜索。

1、Copyright 2023 IIA All Rights ReservedBusiness Intelligence Maturity Framework1.22V1Copyright 2023 IIA All Rights ReservedThe BI Sufficiency Problem2Several years ago,while focusing on the cohort of clients whose scores on IIAs industry-standard Analytics Maturity Assessment(AMA)were below the asses

2、sments midpoint of 3.0,and specifically on those companies whose scores did not improve significantly,year-over-year,we discovered a series of blockers that we refer to,collectively,as business intelligence(BI)sufficiency.Companies that have not achieved a level of BI sufficiency struggle to develop

3、 their advanced analytics competencies.Copyright 2023 IIA All Rights ReservedBI Maturity Framework Overview3Analytical ResponsivenessTHE ANALYTICAL STACKAnalytical SocializationAnalytical AdoptionAnalytical IntegrationAnalytical InfrastructureData CurrencyTHE DATA STACKData ScopeData AccessData Conf

4、idenceData AvailabilityCopyright 2023 IIA All Rights ReservedThe Data Stack:Data Availability Key question:Are most relevant data sets available in a convenient form to inform consumers and decision-makers?Organizations that have already solved the data availability problem for a substantial portion

5、 of their core data assets find that advanced analytics projects drive more“extraction”and“transformation”pipelines that the organization already understands.4Copyright 2023 IIA All Rights ReservedThe Data Stack:Data Access Key question:Can most information consumers and decision-makers access data

6、easily and autonomously?Each step of the transition to advanced analytics makes questions of“access”(or integration)more complex;all subsequent steps depend on uniform,reliable,and repeatable access to data by human decision-makers.5Copyright 2023 IIA All Rights ReservedThe Data Stack:Data Currency

7、Key question:Are available data sets time-relevantand time-consistent with decision-makers needs,and generally approaching real-time?Organizations that are routinely providing granular transaction data,across their data portfolio,in near real-time,to human decision-makers armed with self-service bus

8、iness intelligence tools,are close to satisfying the requirements for BI sufficiency.6Copyright 2023 IIA All Rights ReservedThe Data Stack:Data Scope Key question:What portion of the organizations value chain,including suppliers,trading partners,downstream channels and customers,is represented in av

9、ailable data?The extent to which decisional data sets are staged is a critical factor in reaching BI sufficiency Data scope should be evaluated on two criteria based on how they cover the breadth of1.The organizations internal operations 2.The external value chain in which the organization participa

10、tes 7Copyright 2023 IIA All Rights ReservedThe Data Stack:Data Confidence Key question:Are the quality,accuracy ratings,and the fitness for purpose of data well documented,accessible,and understoodby consumers?Organizations that have adopted transparent,metadata-based methods for advertising various

11、 characteristics of provisioned data sets are building the confidence required to support advanced analytics experiments that lead to successful in-production applications.8Copyright 2023 IIA All Rights ReservedThe Analytical Stack:Infrastructure Key question:Has the organization approached BI asset

12、 provisioning and decision support generally in a consciously-designed manner?Clients we studied that made significant progresson their common platform,and equally significant progress in developing a community of use for that platform,were able to support the incremental demands of advanced analyti

13、cs projectswithout difficulty.9Copyright 2023 IIA All Rights ReservedThe Analytical Stack:Adoption Key question:Are strategic,operational,and tactical decision-makers creating and using available BI assets routinely and consistently?Companies focused on penetrating strategic,operational,and tactical

14、 decision-making processes with descriptive and diagnostic BI functionality,and on measuring the adoption of their delivered BI applications,move their demand-side constituencies quickly into adopting advanced analytical applications.10Copyright 2023 IIA All Rights ReservedThe Analytical Stack:Respo

15、nsiveness Key question:How long does it take internal suppliers to respond to,and meet,new and modified demands for BI assets?Organizations that have already implemented transparent,beneficiary-centered reprioritization processes tend to be much more effective at taking the right advanced analytical

16、 applications into production,in the right order,while maintaining or enhancing(rather than compromising)beneficiary confidence in the analytics team.11Copyright 2023 IIA All Rights ReservedThe Analytical Stack:Socialization Key question:Are BI assets and analyses shared,inspected,and evaluated by g

17、roups of interested decision-makers using reasonable collaboration infrastructure?Teams with successful advanced analytics strategies,and their implementation,are fully aware of the complex social context in which analytics are deployed.They have the processes and skills in place to work effectively

18、 on those social factors to improve the probability of successful project implementation.12Copyright 2023 IIA All Rights ReservedThe Analytical Stack:Integration Key question:To what extent are BI assets embedded in organizational processes and practices?Organizations that have developed a success m

19、etric scheme based on integration with decision-making processes,and on returned business value,are more successful at obtaining buy-in,more likely to avoid the novel technology pitfalls,more effective at integrating their models,and more able to justify their projects and programs.13Copyright 2023

20、IIA All Rights ReservedGoals to Strive for When Seeking BI Sufficiency141.Naturally occurring and consistent demand for advanced analytics 2.Largely complete and automated data provisioning.3.Widely deployed and widely used self-service BI capabilities.4.Data-driven decision-making explicitly embedd

21、ed in corporate value statements,strategic formulations,and strategic procedures5.Clear,demonstrable linkages between BI assets,on the one hand,and measurable returned business value on the other6.Significant numbers of vocal,distributed teams of citizen analysts,effectively competing with or supple

22、menting official BI programsCopyright 2023 IIA All Rights ReservedBecome an IIA Client to Access the Experts Who Created the FrameworkResearch&Advisory Network(RAN)clients have direct access to the experts that developed this content and framework with on demand inquires.15Copyright 2023 IIA All Rights ReservedDont go it alone.Let IIA guide your |503-467-0210|We work with clients to build and grow their analytics organizations.Benefit from our unbiased,unrivaled network of analytics experts,practitioners and thought leaders.5.22V1