IIA Research：2023年商业智能（BI）成熟度框架报告（中译版）（16页）.pdf

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