BI Success, Difficulty Finding Analytic Content, and the Role of Data Catalogs
Data catalogs provide the means by which to simplify the access and use of analytical content as well as the collaboration and governance of that content across business intelligence (BI) use cases.
Our research shows BI users experience extensive difficulties in finding their needed analytic content. Furthermore, data catalog capabilities that help users find, trust, and share analytic content can play an important role in the success of BI initiatives
- Almost 50 percent of the BI user respondents have difficulty finding analytic content that they and their use cases need to be successful. The levels of difficulty and rates of BI success vary by industry and business function.
- Data catalogs play an important and emerging role in successful BI use cases. The ease or difficulty of accessing analytic content correlates highly to BI success and failure, respectively. The increasing complexity of analytic content and workflows ensures that data catalogs will remain important for years.
- As the number of BI users grows significantly and they apply multiple use cases, their difficulty of finding analytic content and use cases also increases correspondingly.
- Priorities for data catalog feature capabilities vary by industry, business function, and organization size.
- Although many data catalog products provide the basic capabilities needed for department-level or single BI use-case needs, only a limited number of products provide capabilities to support and maintain multiple analytic use cases and workflows across multiple analytic data infrastructures, domains, and sources.
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