This thesis explores the profound impact of Microsoft Power BI on contemporary business intelligence processes. With a focus on interviews with industry professionals, the research delves into the transformative potential of Power BI in streamlining data processing, enhancing data-driven decision-making, and ultimately improving business outcomes. The study commences with an in-depth literature review, providing a comprehensive overview of business intelligence tools and technologies, with a specific focus on Power BI's features, benefits, and impact on decision-making. Qualitative data gathered from interviews offer valuable insights, trends, and key takeaways from Power BI adoption. The implications and recommendations section analyses the impact of Power BI on data processing efficiency and decision-making effectiveness. Evidence-based recommendations, including best practices and potential pitfalls, are provided for organizations considering Power BI adoption. The thesis concludes by summarizing the main findings and contributions, reflecting on the overall effectiveness of Power BI in transforming business intelligence processes. It serves as a valuable resource for business leaders, data analysts, researchers, and technology providers seeking to harness the transformative power of Power BI in the modern business landscape.
Keywords
Business IntelligencePower BIData AnalysisDecision-MakingTransformation
Institute(s)
Haaga-Helia University of Applied Sciences
Year
2023
Abstract
Author(s)
Jawad Hafeez