Modernizing Business Intelligence: The Shift from Traditional BI to Self-Service Analytics

Authors: Syed Ziaurrahman Ashraf

DOI: https://doi.org/10.5281/zenodo.13959609

Short DOI: https://doi.org/g8nnqz

Country: USA

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Abstract: The evolution of Business Intelligence (BI) has led to a paradigm shift from traditional, IT-driven solutions to more flexible, user-centric, self-service analytics. This paper explores the critical drivers behind this transition, the underlying architecture supporting modern BI tools, and the role of cloud technologies, automation, and AI in reshaping analytics. We will delve into how this shift enables quicker decision-making, democratizes data access, and enhances business agility. The paper also outlines the technical components required to build self-service analytics platforms, the challenges faced, and best practices for successful implementation.

Keywords: Business Intelligence, Self-Service Analytics, Cloud BI, Data Democratization, AI-Driven Analytics, Data Governance, Traditional BI, Data Visualization

Paper Id: 231287

Published On: 2019-07-02

Published In: Volume 7, Issue 4, July-August 2019

Cite This: Modernizing Business Intelligence: The Shift from Traditional BI to Self-Service Analytics - Syed Ziaurrahman Ashraf - IJIRMPS Volume 7, Issue 4, July-August 2019. DOI 10.5281/zenodo.13959609

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