Systematic Review of Business Intelligence Tools and Strategic Dash boarding Techniques

Authors

  • Onyinye Jacqueline Ezeilo  Independent researcher, Lagos, Nigeria
  • Sandra Orobosa Ikponmwoba  Independent Researcher, Abuja, Nigeria
  • Onyeka Kelvin Chima  Africa Capital Alliance, Ikoyi, Lagos. Nigeria
  • Benjamin Monday Ojonugwa  Independent researcher, Lagos, Nigeria
  • Akoche Ochefu Michael Olumuyiwa Adesuyi  Benue State Civil Service Commission, Nigeria

Keywords:

Business Intelligence, Strategic Dashboards, Data Visualization, PRISMA Review, Power BI, Tableau, Real-Time Analytics, Decision Support Systems, AI-Enhanced BI, Data Governance.

Abstract

In today’s data-driven economy, organizations increasingly rely on Business Intelligence (BI) tools and strategic dashboards to convert raw data into actionable insights. The convergence of advanced analytics, visualization technologies, and real-time data processing has revolutionized decision-making processes across industries. This paper presents a systematic review of contemporary Business Intelligence tools and strategic dashboarding techniques, aimed at identifying trends, evaluating tool capabilities, and assessing best practices for effective decision support. The review adopts the PRISMA methodology to systematically analyze peer-reviewed journal articles, conference papers, and industry reports published between 2015 and 2024. Key inclusion criteria focus on studies that examine BI platforms such as Microsoft Power BI, Tableau, Qlik Sense, Looker, and SAP BusinessObjects, alongside advanced dashboarding practices. The review highlights how these tools enhance operational transparency, performance monitoring, and strategic alignment in organizations of varying sizes and sectors. Findings reveal a shift from traditional BI models to self-service and cloud-based platforms, empowering end-users with real-time analytics and data visualization capabilities. Strategic dashboards are now being designed with user-centered principles, incorporating KPIs, drill-down features, predictive analytics, and mobile responsiveness. Furthermore, the integration of artificial intelligence and machine learning within BI ecosystems is enhancing data storytelling, anomaly detection, and proactive decision-making. This study also identifies common challenges, including data quality issues, user adoption barriers, and the need for data governance frameworks. Best practices for dashboard development emphasize clarity, consistency, interactivity, and alignment with organizational goals. The review provides a synthesized framework for selecting appropriate BI tools based on organizational needs, technical infrastructure, and strategic objectives. In conclusion, this systematic review contributes to the evolving discourse on data-driven strategy by offering a comprehensive synthesis of existing knowledge on BI tools and dashboarding techniques. It serves as a reference for practitioners, researchers, and decision-makers seeking to optimize their analytics strategies and enhance business performance through intelligent data utilization.

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2022-09-15

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Volume 9, Issue 5, September-October-2022

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Onyinye Jacqueline Ezeilo, Sandra Orobosa Ikponmwoba, Onyeka Kelvin Chima, Benjamin Monday Ojonugwa, Akoche Ochefu Michael Olumuyiwa Adesuyi "Systematic Review of Business Intelligence Tools and Strategic Dash boarding Techniques" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 5, pp.790-816, September-October-2022.