Comparative Evaluation of Business Intelligence Platforms for Enhanced Decision-Making in Retail Organizations

Arun Chandramouli

Abstract: In this paper, we embark on an extensive evaluation of various Business Intelligence (BI) platforms, with the goal of pinpointing the optimal solution that can significantly enhance decision-making processes within retail organizations. Through a meticulously designed proof of concept, coupled with in-depth qualitative research, we undertake a comparative analysis of multiple BI tools, assessing them against a broad spectrum of critical criteria such as data access capabilities, the sophistication of data visualization techniques, the ease of development, and the breadth of advanced analytics features. Our comprehensive examination culminates in the advocacy for a hybrid BI solution, ingeniously crafted to amalgamate the unique strengths of individual platforms. This tailored approach not only caters to the multifaceted needs of retail organization users but also paves the way for a more intuitive and effective decision-making ecosystem.

Keywords: Business Intelligence, BI platforms, decision-making, retail organizations, data analytics

How to Cite?: Arun Chandramouli, "Comparative Evaluation of Business Intelligence Platforms for Enhanced Decision-Making in Retail Organizations", Volume 11 Issue 10, October 2022, International Journal of Science and Research (IJSR), Pages: 1378-1381, https://www.ijsr.net/getabstract.php?paperid=SR24422170306, DOI: https://dx.doi.org/10.21275/SR24422170306