ABSTRACT

In the contemporary landscape of business intelligence (BI), the choice of interactive dashboard tools plays a pivotal role in enabling data-driven decision-making processes within organizations. This study conducts a comprehensive comparative analysis of three leading BI tools: Looker, Tableau, and Power BI, with a specific focus on their interactive dashboard capabilities. 

The research aims to provide insights into the strengths and weaknesses of each tool, aiding organizations in making informed decisions regarding their BI tool selection. Key aspects examined include user interface and ease of use, data connectivity, visualization capabilities, data modeling and transformation features, collaboration and sharing functionalities, integration with advanced analytics and machine learning, cost considerations, customization and extensibility options, as well as support and community resources.

Methodologically, the study adopts a mixed-methods approach, combining insights from user survey feedback with data gathered from expert users in data analytics and data science, providing a well-rounded view of the tools strengths and weaknesses.

Findings from the study are expected to contribute valuable insights to both academic research and practical decision-making processes within organizations seeking to leverage BI tools for enhanced data analytics and visualization. Ultimately, the comparative study aims to empower stakeholders with the knowledge needed to select the most suitable interactive dashboard solution for their specific business intelligence needs.