International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Enabling Data-Driven Decision Making with Automated Self-Service Platforms

Authors: Syed Ziaurrahman Ashraf

DOI: https://doi.org/10.5281/zenodo.13995911

Short DOI: https://doi.org/g8n6np

Country: USA

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Abstract: In the digital age, organizations face the challenge of harnessing vast amounts of data to inform decision-making processes. Automated self-service platforms are emerging as powerful tools that enable users at all levels to access, analyze, and visualize data independently. This paper discusses the importance of data-driven decision-making, the role of automated self-service platforms, and the essential components for their successful implementation. By exploring various case studies across different industries, we highlight the transformative potential of these platforms in fostering a culture of data-driven decision-making.

Keywords: Automated Self-Service Platforms, Data-Driven Decision Making, Data Analytics, Visualization Tools, Organizational Effectiveness.


Paper Id: 231323

Published On: 2023-12-06

Published In: Volume 11, Issue 6, November-December 2023

Cite This: Enabling Data-Driven Decision Making with Automated Self-Service Platforms - Syed Ziaurrahman Ashraf - IJIRMPS Volume 11, Issue 6, November-December 2023. DOI 10.5281/zenodo.13995911

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