Investigating the implementation of business intelligence in improving companies performance

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dc.contributor.advisorTakács, Viktor László
dc.contributor.authorJaouad, Dorra
dc.contributor.departmentDE--Informatikai Kar
dc.date.accessioned2024-02-01T10:07:45Z
dc.date.available2024-02-01T10:07:45Z
dc.date.created2023
dc.description.abstractBusiness intelligence (BI) platforms aggregate, analyze, and visualize data to enable data-driven decision making. However, research shows high failure rates for enterprise BI implementations due to challenges across people, process, and technology dimensions. This thesis investigates best practices and common pitfalls in BI execution. The analysis reveals recurring issues around lack of strategic alignment, poor user adoption, data quality concerns, mismatched skills, and inadequate change management. To address these gaps, the thesis synthesizes a comprehensive BI implementation framework. It offers an audit tool and structured roadmap for planning, executing, and continuously improving BI solutions tailored to business contexts.
dc.description.courseGazdaságinformatikus
dc.description.degreeBSc/BA
dc.format.extent45
dc.identifier.urihttps://hdl.handle.net/2437/365819
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectbusiness intelligence
dc.subjectcritical success factors
dc.subjectanalytics
dc.subject.dspaceDEENK Témalista::Informatika::Információtechnológia
dc.titleInvestigating the implementation of business intelligence in improving companies performance
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